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
8 tool calls · 3 tool types · 15 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 examining the input format and understanding the task.

/workspace/data/public_pairs.json

contents
1	{
2	  "schema_version": "1.0",
3	  "description": "Unlabeled public format examples for the DeepCAD canonical-equivalence task.",
4	  "pairs": [
5	    {
6	      "pair_id": "P001",
7	      "program_a": [
8	        {"cmd": "param", "name": "w", "expr": "40"},
9	        {"cmd": "param", "name": "h", "expr": "20"},
10	        {"cmd": "param", "name": "d", "expr": "8"},
11	        {"cmd": "sketch", "id": "s0", "plane": "XY"},
12	        {"cmd": "rect", "id": "base", "sketch": "s0", "center": [0, 0], "size": ["w", "h"]},
13	        {"cmd": "line", "id": "guide", "sketch": "s0", "p1": [0, -10], "p2": [0, 10], "construction": true},
14	        {"cmd": "extrude", "id": "pad", "profile": "base", "operation": "new", "depth": "d", "extent": "one_side"}
15	      ],
16	      "program_b": [
17	        {"cmd": "param", "name": "depth", "expr": "4 + 4"},
18	        {"cmd": "param", "name": "height", "expr": "5 * 4"},
19	        {"cmd": "param", "name": "width", "expr": "20 * 2"},
20	        {"cmd": "sketch", "id": "profile_sketch", "plane": "XY"},
21	        {"cmd": "rect", "id": "outer", "sketch": "profile_sketch", "center": [0, 0], "size": ["width", "height"]},
22	        {"cmd": "extrude", "id": "solid", "profile": "outer", "operation": "new", "depth": "depth", "extent": "one_side"}
23	      ]
24	    },
25	    {
26	      "pair_id": "P002",
27	      "program_a": [
28	        {"cmd": "param", "name": "r", "expr": "4"},
29	        {"cmd": "sketch", "id": "s", "plane": "XY"},
30	        {"cmd": "circle", "id": "hole", "sketch": "s", "center": [8, 0], "radius": "r"},
31	        {"cmd": "extrude", "id": "cut", "profile": "hole", "operation": "cut", "depth": 10, "extent": "one_side"}
32	      ],
33	      "program_b": [
34	        {"cmd": "param", "name": "r2", "expr": "4.25"},
35	        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
36	        {"cmd": "circle", "id": "hole2", "sketch": "renamed", "center": [8, 0], "radius": "r2"},
37	        {"cmd": "extrude", "id": "cut2", "profile": "hole2", "operation": "cut", "depth": 10, "extent": "one_side"}
38	      ]
39	    },
40	    {
41	      "pair_id": "P003",
42	      "program_a": [
43	        {"cmd": "sketch", "id": "s", "plane": "XY"},
44	        {"cmd": "rect", "id": "rib_a", "sketch": "s", "center": [-6, 0], "size": [2, 12]},
45	        {"cmd": "rect", "id": "rib_b", "sketch": "s", "center": [6, 0], "size": [2, 12]},
46	        {"cmd": "extrude", "id": "ribs", "profiles": ["rib_a", "rib_b"], "operation": "add", "depth": 5, "extent": "one_side"}
47	      ],
48	      "program_b": [
49	        {"cmd": "sketch", "id": "renamed", "plane": "XY"},
50	        {"cmd": "rect", "id": "right", "sketch": "renamed", "center": [6, 0], "size": [2, 12]},
51	        {"cmd": "rect", "id": "left", "sketch": "renamed", "center": [-6, 0], "size": [2, 12]},
52	        {"cmd": "extrude", "id": "ribs2", "profiles": ["right", "left"], "operation": "add", "depth": 5, "extent": "one_side"}
53	      ]
54	    }
55	  ]
56	}
57
Let me look at the rest of the workspace structure.
shell
ls -la /workspace/ && echo "---" && ls -la /workspace/data/ && echo "---py---" && cat /workspace/solve.py 2>/dev/null || echo "no solve.py yet"
output
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
---
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
---py---
#!/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())

[stdout]
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
---
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
---py---
#!/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())

/workspace/README.md

contents
1	# DeepCAD Canonical Equivalence Starter
2	
3	`solve.py` is an intentionally weak starter baseline. It reads an input JSON with program pairs and writes a prediction for each pair.
4	
5	The public file `data/public_pairs.json` is unlabeled and only shows the command schema. Hidden labels are verifier-only.
6
Now I understand the task. Let me write the full solution.
write · /workspace/solve.py
#!/usr/bin/env python3
"""DeepCAD canonical-equivalence solver.

For each pair of compact CAD command programs, decide whether both programs
describe the same canonical solid.

Approach: normalize each program into a canonical *signature* that captures only
what affects the solid, then compare the two signatures for equality.

The solid is determined by:
  * the multiset of *extrude* features (each canonicalized: operation, extent,
    direction, depth, and the multiset of consumed profile geometries), grouped
    into body/channel partitions; and
  * the multiset of *opaque* solid-affecting payload commands compared literally.

Everything else (parameter names, ids, sketch ids, command order, construction
geometry, annotation commands) is normalized away or dropped.
"""

from __future__ import annotations

import ast
import json
import sys
from pathlib import Path


# Absolute tolerance for numeric comparison is 1e-6; rounding to 6 decimals
# yields a grid finer than that tolerance.
ROUND_DIGITS = 6

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

# Fields on a profile command that are labels/wiring, not geometry.
PROFILE_NON_GEOM = {"cmd", "kind", "type", "id", "sketch", "construction", "plane"}


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


class ExprError(Exception):
    pass


def _eval_ast(node, resolver):
    if isinstance(node, ast.Expression):
        return _eval_ast(node.body, resolver)
    if isinstance(node, ast.Constant):
        if isinstance(node.value, bool) or not isinstance(node.value, (int, float)):
            raise ExprError("non-numeric constant")
        return float(node.value)
    if isinstance(node, ast.Num):  # pragma: no cover (py<3.8 compat)
        return float(node.n)
    if isinstance(node, ast.BinOp):
        left = _eval_ast(node.left, resolver)
        right = _eval_ast(node.right, resolver)
        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("unsupported binary operator")
    if isinstance(node, ast.UnaryOp):
        operand = _eval_ast(node.operand, resolver)
        if isinstance(node.op, ast.UAdd):
            return +operand
        if isinstance(node.op, ast.USub):
            return -operand
        raise ExprError("unsupported unary operator")
    if isinstance(node, ast.Name):
        return resolver(node.id)
    raise ExprError("unsupported expression node")


def eval_expr(expr, resolver):
    tree = ast.parse(expr, mode="eval")
    return _eval_ast(tree, resolver)


class ParamTable:
    """Resolves parameter names to numeric values, allowing references between
    parameters (in any order) and detecting cycles."""

    def __init__(self, exprs):
        self._exprs = exprs
        self._cache = {}

    def resolve(self, name, stack=None):
        if name in self._cache:
            return self._cache[name]
        if name not in self._exprs:
            raise ExprError(f"unknown parameter: {name}")
        if stack is None:
            stack = ()
        if name in stack:
            raise ExprError(f"cyclic parameter: {name}")
        raw = self._exprs[name]
        value = self._eval_value(raw, stack + (name,))
        self._cache[name] = value
        return value

    def _eval_value(self, raw, stack):
        if isinstance(raw, bool):
            raise ExprError("boolean parameter")
        if isinstance(raw, (int, float)):
            return float(raw)
        if isinstance(raw, str):
            tree = ast.parse(raw, mode="eval")
            return _eval_ast(tree, lambda n: self.resolve(n, stack))
        raise ExprError("unsupported parameter expression")

    def resolver(self):
        return lambda name: self.resolve(name)


def evaluate_value(value, params):
    """Evaluate a JSON value (number, expression string, or nested list) to a
    canonical numeric form. If a string cannot be evaluated as an arithmetic
    expression, it is preserved literally."""
    if isinstance(value, bool):
        return value
    if isinstance(value, (int, float)):
        return round(float(value), ROUND_DIGITS)
    if isinstance(value, list):
        return [evaluate_value(v, params) for v in value]
    if isinstance(value, str):
        try:
            return round(eval_expr(value, params.resolver()), ROUND_DIGITS)
        except (ExprError, SyntaxError, ZeroDivisionError, ValueError, TypeError):
            return value
    return value


# --------------------------------------------------------------------------- #
# Command helpers
# --------------------------------------------------------------------------- #


def cmd_kind(command):
    for key in ("cmd", "kind", "type"):
        if key in command and isinstance(command[key], str):
            return command[key].lower()
    return None


def is_construction(command):
    return command.get("construction") is True


def normalize_plane(plane):
    if isinstance(plane, str):
        return plane.upper()
    return plane


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


# --------------------------------------------------------------------------- #
# Signature construction
# --------------------------------------------------------------------------- #


def build_signature(program):
    if not isinstance(program, list):
        program = []

    # 1. Parameters (register regardless of construction flag).
    param_exprs = {}
    for command in program:
        if cmd_kind(command) == "param" and "name" in command:
            param_exprs[command["name"]] = command.get("expr")
    params = ParamTable(param_exprs)

    # 2. Sketch planes.
    sketch_planes = {}
    for command in program:
        if cmd_kind(command) == "sketch" and "id" in command:
            sketch_planes[command["id"]] = normalize_plane(command.get("plane"))

    # 3. Profiles (skip construction profiles).
    profiles = {}
    for command in program:
        kind = cmd_kind(command)
        if kind in PROFILE_KINDS and not is_construction(command) and "id" in command:
            profiles[command["id"]] = canonical_profile(command, kind, sketch_planes, params)

    # 4. Extrude features and 5. opaque payloads.
    features = []  # list of (partition_key, feature_sig)
    opaque = []
    for command in program:
        if is_construction(command):
            continue
        kind = cmd_kind(command)
        if kind == "extrude":
            features.append(canonical_extrude(command, profiles, params))
        elif kind in SUPPORTED_KINDS or kind in ANNOTATION_KINDS:
            continue  # param/sketch/profile already handled; annotations ignored
        else:
            opaque.append(canonical_opaque(command))

    # 6. Partition grouping.
    default_partition = []
    labeled = {}
    for partition_key, feature_sig in features:
        if partition_key is None:
            default_partition.append(feature_sig)
        else:
            labeled.setdefault(partition_key, []).append(feature_sig)

    default_partition.sort()
    labeled_partitions = sorted(canonical_json(sorted(group)) for group in labeled.values())
    opaque.sort()

    return {
        "default_partition": default_partition,
        "labeled_partitions": labeled_partitions,
        "opaque": opaque,
    }


def canonical_profile(command, kind, sketch_planes, params):
    plane = command.get("plane")
    if plane is None:
        plane = sketch_planes.get(command.get("sketch"))
    plane = normalize_plane(plane)

    fields = {}
    for key, value in command.items():
        if key in PROFILE_NON_GEOM:
            continue
        evaluated = evaluate_value(value, params)
        if key == "angle" and isinstance(evaluated, (int, float)) and not isinstance(evaluated, bool):
            evaluated = round(((evaluated % 180.0) + 180.0) % 180.0, ROUND_DIGITS)
        fields[key] = evaluated

    return canonical_json({"type": kind, "plane": plane, "fields": fields})


def canonical_extrude(command, profiles, params):
    operation = command.get("operation", "new")
    extent = command.get("extent", "one_side")
    direction = command.get("direction", "normal")

    operation = operation.lower() if isinstance(operation, str) else operation
    extent = extent.lower() if isinstance(extent, str) else extent
    direction = direction.lower() if isinstance(direction, str) else direction

    depth = command.get("depth")
    depth = evaluate_value(depth, params) if depth is not None else None

    # Resolve consumed profiles (order not semantic).
    ref_ids = []
    if "profiles" in command and isinstance(command["profiles"], list):
        ref_ids.extend(command["profiles"])
    if "profile" in command and command["profile"] is not None:
        ref_ids.append(command["profile"])

    profile_sigs = []
    for pid in ref_ids:
        if pid in profiles:
            profile_sigs.append(profiles[pid])
    profile_sigs.sort()

    feature = {
        "operation": operation,
        "extent": extent,
        "direction": direction,
        "depth": depth,
        "profiles": profile_sigs,
    }
    feature_sig = canonical_json(feature)

    # Partition key: body or channel value (same namespace); None = default.
    partition_key = None
    if command.get("body") is not None:
        partition_key = ("v", command["body"])
    elif command.get("channel") is not None:
        partition_key = ("v", command["channel"])

    return partition_key, feature_sig


def canonical_opaque(command):
    payload = {k: v for k, v in command.items() if k != "id"}
    return canonical_json(payload)


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


def decide(pair):
    sig_a = build_signature(pair.get("program_a", []))
    sig_b = build_signature(pair.get("program_b", []))
    equivalent = sig_a == sig_b
    return equivalent, sig_a, sig_b


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", []):
        equivalent, sig_a, sig_b = decide(pair)
        predictions.append(
            {
                "pair_id": pair["pair_id"],
                "equivalent": bool(equivalent),
                "signature_a": canonical_json(sig_a),
                "signature_b": canonical_json(sig_b),
            }
        )

    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())

/workspace/solve.py

contents
1	#!/usr/bin/env python3
2	"""Weak starter baseline for DeepCAD canonical-equivalence.
3
write · /workspace/solve.py
#!/usr/bin/env python3
"""DeepCAD canonical-equivalence solver.

For each pair of compact CAD command programs, decide whether both programs
describe the same canonical solid.

Approach: normalize each program into a canonical *signature* that captures only
what affects the solid, then compare the two signatures for equality.

The solid is determined by:
  * the multiset of *extrude* features (each canonicalized: operation, extent,
    direction, depth, and the multiset of consumed profile geometries), grouped
    into body/channel partitions; and
  * the multiset of *opaque* solid-affecting payload commands compared literally.

Everything else (parameter names, ids, sketch ids, command order, construction
geometry, annotation commands) is normalized away or dropped.
"""

from __future__ import annotations

import ast
import json
import sys
from pathlib import Path


# Absolute tolerance for numeric comparison is 1e-6; rounding to 6 decimals
# yields a grid finer than that tolerance.
ROUND_DIGITS = 6

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

# Fields on a profile command that are labels/wiring, not geometry.
PROFILE_NON_GEOM = {"cmd", "kind", "type", "id", "sketch", "construction", "plane"}


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


class ExprError(Exception):
    pass


def _eval_ast(node, resolver):
    if isinstance(node, ast.Expression):
        return _eval_ast(node.body, resolver)
    if isinstance(node, ast.Constant):
        if isinstance(node.value, bool) or not isinstance(node.value, (int, float)):
            raise ExprError("non-numeric constant")
        return float(node.value)
    if isinstance(node, ast.Num):  # pragma: no cover (py<3.8 compat)
        return float(node.n)
    if isinstance(node, ast.BinOp):
        left = _eval_ast(node.left, resolver)
        right = _eval_ast(node.right, resolver)
        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("unsupported binary operator")
    if isinstance(node, ast.UnaryOp):
        operand = _eval_ast(node.operand, resolver)
        if isinstance(node.op, ast.UAdd):
            return +operand
        if isinstance(node.op, ast.USub):
            return -operand
        raise ExprError("unsupported unary operator")
    if isinstance(node, ast.Name):
        return resolver(node.id)
    raise ExprError("unsupported expression node")


def eval_expr(expr, resolver):
    tree = ast.parse(expr, mode="eval")
    return _eval_ast(tree, resolver)


class ParamTable:
    """Resolves parameter names to numeric values, allowing references between
    parameters (in any order) and detecting cycles."""

    def __init__(self, exprs):
        self._exprs = exprs
        self._cache = {}

    def resolve(self, name, stack=None):
        if name in self._cache:
            return self._cache[name]
        if name not in self._exprs:
            raise ExprError(f"unknown parameter: {name}")
        if stack is None:
            stack = ()
        if name in stack:
            raise ExprError(f"cyclic parameter: {name}")
        raw = self._exprs[name]
        value = self._eval_value(raw, stack + (name,))
        self._cache[name] = value
        return value

    def _eval_value(self, raw, stack):
        if isinstance(raw, bool):
            raise ExprError("boolean parameter")
        if isinstance(raw, (int, float)):
            return float(raw)
        if isinstance(raw, str):
            tree = ast.parse(raw, mode="eval")
            return _eval_ast(tree, lambda n: self.resolve(n, stack))
        raise ExprError("unsupported parameter expression")

    def resolver(self):
        return lambda name: self.resolve(name)


def evaluate_value(value, params):
    """Evaluate a JSON value (number, expression string, or nested list) to a
    canonical numeric form. If a string cannot be evaluated as an arithmetic
    expression, it is preserved literally."""
    if isinstance(value, bool):
        return value
    if isinstance(value, (int, float)):
        return round(float(value), ROUND_DIGITS)
    if isinstance(value, list):
        return [evaluate_value(v, params) for v in value]
    if isinstance(value, str):
        try:
            return round(eval_expr(value, params.resolver()), ROUND_DIGITS)
        except (ExprError, SyntaxError, ZeroDivisionError, ValueError, TypeError):
            return value
    return value


# --------------------------------------------------------------------------- #
# Command helpers
# --------------------------------------------------------------------------- #


def cmd_kind(command):
    for key in ("cmd", "kind", "type"):
        if key in command and isinstance(command[key], str):
            return command[key].lower()
    return None


def is_construction(command):
    return command.get("construction") is True


def normalize_plane(plane):
    if isinstance(plane, str):
        return plane.upper()
    return plane


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


# --------------------------------------------------------------------------- #
# Signature construction
# --------------------------------------------------------------------------- #


def build_signature(program):
    if not isinstance(program, list):
        program = []

    # 1. Parameters (register regardless of construction flag).
    param_exprs = {}
    for command in program:
        if isinstance(command, dict) and cmd_kind(command) == "param" and "name" in command:
            param_exprs[command["name"]] = command.get("expr")
    params = ParamTable(param_exprs)

    # 2. Sketch planes.
    sketch_planes = {}
    for command in program:
        if isinstance(command, dict) and cmd_kind(command) == "sketch" and "id" in command:
            sketch_planes[command["id"]] = normalize_plane(command.get("plane"))

    # 3. Profiles (skip construction profiles).
    profiles = {}
    for command in program:
        if not isinstance(command, dict):
            continue
        kind = cmd_kind(command)
        if kind in PROFILE_KINDS and not is_construction(command) and "id" in command:
            profiles[command["id"]] = canonical_profile(command, kind, sketch_planes, params)

    # 4. Extrude features and 5. opaque payloads.
    features = []  # list of (partition_key, feature_sig)
    opaque = []
    for command in program:
        if not isinstance(command, dict):
            continue
        if is_construction(command):
            continue
        kind = cmd_kind(command)
        if kind == "extrude":
            features.append(canonical_extrude(command, profiles, params))
        elif kind in SUPPORTED_KINDS or kind in ANNOTATION_KINDS:
            continue  # param/sketch/profile already handled; annotations ignored
        else:
            opaque.append(canonical_opaque(command))

    # 6. Partition grouping.
    default_partition = []
    labeled = {}
    for partition_key, feature_sig in features:
        if partition_key is None:
            default_partition.append(feature_sig)
        else:
            labeled.setdefault(partition_key, []).append(feature_sig)

    default_partition.sort()
    labeled_partitions = sorted(canonical_json(sorted(group)) for group in labeled.values())
    opaque.sort()

    return {
        "default_partition": default_partition,
        "labeled_partitions": labeled_partitions,
        "opaque": opaque,
    }


def canonical_profile(command, kind, sketch_planes, params):
    plane = command.get("plane")
    if plane is None:
        plane = sketch_planes.get(command.get("sketch"))
    plane = normalize_plane(plane)

    fields = {}
    for key, value in command.items():
        if key in PROFILE_NON_GEOM:
            continue
        evaluated = evaluate_value(value, params)
        if key == "angle" and isinstance(evaluated, (int, float)) and not isinstance(evaluated, bool):
            evaluated = round(((evaluated % 180.0) + 180.0) % 180.0, ROUND_DIGITS)
        fields[key] = evaluated

    return canonical_json({"type": kind, "plane": plane, "fields": fields})


def canonical_extrude(command, profiles, params):
    operation = command.get("operation", "new")
    extent = command.get("extent", "one_side")
    direction = command.get("direction", "normal")

    operation = operation.lower() if isinstance(operation, str) else operation
    extent = extent.lower() if isinstance(extent, str) else extent
    direction = direction.lower() if isinstance(direction, str) else direction

    depth = command.get("depth")
    depth = evaluate_value(depth, params) if depth is not None else None

    # Resolve consumed profiles (order not semantic).
    ref_ids = []
    if "profiles" in command and isinstance(command["profiles"], list):
        ref_ids.extend(command["profiles"])
    if "profile" in command and command["profile"] is not None:
        ref_ids.append(command["profile"])

    profile_sigs = []
    for pid in ref_ids:
        if pid in profiles:
            profile_sigs.append(profiles[pid])
    profile_sigs.sort()

    feature = {
        "operation": operation,
        "extent": extent,
        "direction": direction,
        "depth": depth,
        "profiles": profile_sigs,
    }
    feature_sig = canonical_json(feature)

    # Partition key: body or channel value (same namespace); None = default.
    partition_key = None
    if command.get("body") is not None:
        partition_key = ("v", command["body"])
    elif command.get("channel") is not None:
        partition_key = ("v", command["channel"])

    return partition_key, feature_sig


def canonical_opaque(command):
    payload = {k: v for k, v in command.items() if k != "id"}
    return canonical_json(payload)


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


def decide(pair):
    sig_a = build_signature(pair.get("program_a", []))
    sig_b = build_signature(pair.get("program_b", []))
    equivalent = sig_a == sig_b
    return equivalent, sig_a, sig_b


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", []):
        equivalent, sig_a, sig_b = decide(pair)
        predictions.append(
            {
                "pair_id": pair["pair_id"],
                "equivalent": bool(equivalent),
                "signature_a": canonical_json(sig_a),
                "signature_b": canonical_json(sig_b),
            }
        )

    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())
Now let me run it against the public example and verify the results.
shell
python3 solve.py data/public_pairs.json predictions.json && echo "=== predictions ===" && python3 -c "
import json
d=json.load(open('predictions.json'))
for p in d['predictions']:
    print(p['pair_id'], p['equivalent'])
"
output
=== predictions ===
P001 True
P002 False
P003 True

[stdout]
=== predictions ===
P001 True
P002 False
P003 True
Results match expectations. Let me test edge cases (partitions, opaque commands, slot angle, depth sign, default vs labeled distinction).
shell
python3 -c "
import solve, json

def eq(a,b): return solve.build_signature(a)==solve.build_signature(b)

# body vs channel same grouping -> equivalent
A=[{'cmd':'extrude','profile':'p','operation':'add','depth':5,'body':'g1'},
   {'cmd':'extrude','profile':'p','operation':'add','depth':5,'body':'g1'}]
B=[{'cmd':'extrude','profile':'p','operation':'add','depth':5,'channel':'c9'},
   {'cmd':'extrude','profile':'p','operation':'add','depth':5,'channel':'c9'}]
print('body==channel grouping:', eq(A,B))  # expect True

# shared partition vs separate partitions -> different
C=[{'cmd':'extrude','profile':'p','operation':'add','depth':5,'body':'g1'},
   {'cmd':'extrude','profile':'p','operation':'add','depth':5,'body':'g2'}]
print('shared vs separate:', eq(A,C))  # expect False

# default unlabeled vs labeled distinction
D=[{'cmd':'extrude','profile':'p','operation':'add','depth':5}]
E=[{'cmd':'extrude','profile':'p','operation':'add','depth':5,'body':'x'}]
print('default vs labeled single:', eq(D,E))  # expect False

# depth sign preserved
F=[{'cmd':'extrude','profile':'p','depth':5}]
G=[{'cmd':'extrude','profile':'p','depth':-5}]
print('depth sign:', eq(F,G))  # expect False

# direction not folded
H=[{'cmd':'extrude','profile':'p','depth':5,'direction':'normal'}]
I=[{'cmd':'extrude','profile':'p','depth':5,'direction':'reverse'}]
print('direction diff:', eq(H,I))  # expect False

# add vs join distinct
J=[{'cmd':'extrude','profile':'p','operation':'add','depth':5}]
K=[{'cmd':'extrude','profile':'p','operation':'join','depth':5}]
print('add vs join:', eq(J,K))  # expect False

# slot angle mod 180
sA=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'slot','id':'sl','sketch':'s','center':[0,0],'length':10,'width':2,'angle':10},{'cmd':'extrude','profile':'sl','depth':3}]
sB=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'slot','id':'sl','sketch':'s','center':[0,0],'length':10,'width':2,'angle':190},{'cmd':'extrude','profile':'sl','depth':3}]
print('slot angle mod180:', eq(sA,sB))  # expect True

# opaque payload multiset, order-insensitive, id stripped
oA=[{'cmd':'fillet','id':'f1','edges':['e1'],'radius':2},{'cmd':'chamfer','id':'c1','dist':1}]
oB=[{'cmd':'chamfer','id':'zzz','dist':1},{'cmd':'fillet','id':'q','edges':['e1'],'radius':2}]
print('opaque reorder+id:', eq(oA,oB))  # expect True

# opaque literal difference (no tolerance)
oC=[{'cmd':'fillet','id':'f1','radius':2}]
oD=[{'cmd':'fillet','id':'f1','radius':2.0000001}]
print('opaque no tolerance:', eq(oC,oD))  # expect False

# param expr equivalence with tolerance & renaming
pA=[{'cmd':'param','name':'w','expr':'40'},{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':['w',20]},{'cmd':'extrude','profile':'r','depth':'8'}]
pB=[{'cmd':'param','name':'a','expr':'80/2'},{'cmd':'sketch','id':'q','plane':'xy'},{'cmd':'rect','id':'z','sketch':'q','center':[0,0],'size':['a',20]},{'cmd':'extrude','profile':'z','depth':'4+4'}]
print('param eval+plane case:', eq(pA,pB))  # expect True

# XZ vs ZX different
zA=[{'cmd':'sketch','id':'s','plane':'XZ'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'extrude','profile':'r','depth':1}]
zB=[{'cmd':'sketch','id':'s','plane':'ZX'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'extrude','profile':'r','depth':1}]
print('XZ vs ZX:', eq(zA,zB))  # expect False

# construction & annotations ignored
cA=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'line','id':'g','construction':True},{'cmd':'note','text':'hi'},{'cmd':'extrude','profile':'r','depth':1}]
cB=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'extrude','profile':'r','depth':1}]
print('construction/annotation ignored:', eq(cA,cB))  # expect True

# rect size ordering matters
rA=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'extrude','profile':'r','depth':1}]
rB=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[3,2]},{'cmd':'extrude','profile':'r','depth':1}]
print('rect size order:', eq(rA,rB))  # expect False

# unused profile does not affect solid
uA=[{'cmd':'sketch','id':'s','plane':'XY'},{'cmd':'rect','id':'r','sketch':'s','center':[0,0],'size':[2,3]},{'cmd':'circle','id':'unused','sketch':'s','center':[9,9],'radius':1},{'cmd':'extrude','profile':'r','depth':1}]
print('unused profile:', eq(uA,rB) or eq(uA,cB))  # expect True (matches cB)
"
output
body==channel grouping: True
shared vs separate: False
default vs labeled single: False
depth sign: False
direction diff: False
add vs join: False
slot angle mod180: True
opaque reorder+id: True
opaque no tolerance: False
param eval+plane case: True
XZ vs ZX: False
construction/annotation ignored: True
rect size order: False
unused profile: True

[stdout]
body==channel grouping: True
shared vs separate: False
default vs labeled single: False
depth sign: False
direction diff: False
add vs join: False
slot angle mod180: True
opaque reorder+id: True
opaque no tolerance: False
param eval+plane case: True
XZ vs ZX: False
construction/annotation ignored: True
rect size order: False
unused profile: True
All edge cases behave correctly. The solution is complete and validated. ## Summary I implemented `/workspace/solve.py`, which decides canonical solid equivalence for each program pair by reducing each program to a normalized **signature** and comparing signatures for equality. **How it normalizes each program:** 1. **Parameters** , evaluated as arithmetic expressions (via a restricted `ast` evaluator) supporting `+ - * /`, parentheses, numeric constants, and references to other params (any order, cycle-safe). Compared by value with tolerance `1e-6` (round to 6 decimals), never by name. 2. **Sketches** , build a plane table; planes are case-normalized but axis order is preserved (`XZ` ≠ `ZX`). 3. **Profiles** (`rect`/`circle`/`slot`) , canonicalized as `(type, plane, evaluated geometry)`. List fields like `size`/`center` keep order (ordered dims); `slot` `angle` is reduced mod 180. Construction profiles are dropped. 4. **Extrudes** , each becomes a feature: `operation` (default `new`), `extent` (default `one_side`), `direction` (default `normal`) as literal lowercased tokens, signed evaluated `depth`, and an **unordered multiset** of consumed profile geometries. Depth sign and direction are kept separate (never folded). 5. **Body/channel partitions** , extrudes grouped by label *value* (body and channel share one namespace; spellings anonymized). The unlabeled group is kept as a **distinguished** default partition that a label cannot alias. 6. **Opaque payloads** , any other non-construction, non-annotation command: strip only its top-level `id`, compare the rest literally (no eval, no tolerance, no list sorting) as an unordered multiset. 7. Construction commands and annotation kinds (`constraint`, `dimension`, `note`, `metadata`, `view`, `comment`) are ignored; command order of supported features is not semantic. **Verification:** Public example gives `P001=True`, `P002=False` (radius 4 vs 4.25), `P003=True` (reordered ribs). Plus 14 targeted edge-case tests (body↔channel grouping, shared-vs-separate partitions, default-vs-labeled, depth sign, direction, `add`-vs-`join`, slot angle mod 180, opaque reorder/id-strip/no-tolerance, param eval + plane case, `XZ`≠`ZX`, construction/annotation dropping, rect size ordering, unused profiles) , all pass. The output `predictions.json` uses proper JSON booleans, one prediction per `pair_id`, plus optional `signature_a`/`signature_b` audit fields.
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_1421bf7acde24029. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_1421bf7acde24029 · verifier authoritative; classifier explanatory.