| """Shared, dependency-light helpers for the PixCell dataset release tools. |
| |
| This module is ordinary tooling, not a Hugging Face loading script. The |
| published Parquet files are the loader-free canonical dataset. |
| """ |
|
|
| from __future__ import annotations |
|
|
| import ast |
| import hashlib |
| import json |
| import re |
| from collections.abc import Iterable, Mapping |
| from pathlib import Path |
| from typing import Any |
|
|
| import numpy as np |
| from PIL import Image |
| from skimage.transform import resize |
|
|
|
|
| SCHEMA_VERSION = "pixcell-image-code-curriculum-v1" |
| LEVELS = ("l0", "l1", "l2", "l3", "l4") |
| ALLOWED_COMPONENTS = frozenset( |
| { |
| "L", |
| "bend_circular", |
| "bend_euler", |
| "bend_s", |
| "bezier", |
| "circle", |
| "coupler_straight", |
| "cross", |
| "ellipse", |
| "rectangle", |
| "regular_polygon", |
| "ring", |
| "straight", |
| "taper", |
| "triangle", |
| } |
| ) |
| RAW_POLYGON_CALLS = frozenset({"add_polygon", "from_polygon"}) |
| IMAGE_IMPORT_PREFIXES = ( |
| "PIL", |
| "cv2", |
| "imageio", |
| "skimage", |
| "matplotlib.image", |
| ) |
| COORDINATE_TUPLE_LIMIT = 256 |
| NUMERIC_LITERAL_LIMIT = 1024 |
| ABSOLUTE_PATH_PATTERNS = ( |
| re.compile(r"/" r"Users/[^/\s]+/"), |
| re.compile(r"/" r"home/[^/\s]+/"), |
| re.compile(r"[A-Za-z]:\\\\" r"Users\\\\[^\\\\\s]+\\\\"), |
| ) |
| SECRET_PATTERNS = ( |
| re.compile(r"\bsk-[A-Za-z0-9_-]{20,}\b"), |
| re.compile(r"\bhf_[A-Za-z0-9]{20,}\b"), |
| re.compile(r"\bghp_[A-Za-z0-9]{20,}\b"), |
| re.compile(r"-----BEGIN (?:RSA |EC |OPENSSH )?PRIVATE KEY-----"), |
| ) |
| SAFE_PUBLIC_ID = re.compile(r"^[A-Za-z0-9][A-Za-z0-9_.-]*$") |
| FORBIDDEN_RELEASE_IMPORT_ROOTS = frozenset( |
| {"tasks", "env", "rl", "homi", "michaelangelo"} |
| ) |
| HOST_CONTROL_FILES = frozenset({".gitattributes", ".gitignore", ".gitkeep"}) |
|
|
|
|
| class ReleaseError(RuntimeError): |
| """Raised when a release invariant is violated.""" |
|
|
|
|
| def canonical_json(value: Any) -> str: |
| return json.dumps( |
| value, |
| sort_keys=True, |
| separators=(",", ":"), |
| ensure_ascii=True, |
| allow_nan=False, |
| ) |
|
|
|
|
| def canonical_sha256(value: Any) -> str: |
| return hashlib.sha256(canonical_json(value).encode("utf-8")).hexdigest() |
|
|
|
|
| def sha256_bytes(value: bytes) -> str: |
| return hashlib.sha256(value).hexdigest() |
|
|
|
|
| def sha256_file(path: Path) -> str: |
| digest = hashlib.sha256() |
| with path.open("rb") as handle: |
| for chunk in iter(lambda: handle.read(1024 * 1024), b""): |
| digest.update(chunk) |
| return digest.hexdigest() |
|
|
|
|
| def read_json(path: Path) -> Any: |
| return json.loads(path.read_text(encoding="utf-8")) |
|
|
|
|
| def write_json(path: Path, value: Any) -> None: |
| path.parent.mkdir(parents=True, exist_ok=True) |
| path.write_text( |
| json.dumps( |
| value, |
| indent=2, |
| sort_keys=True, |
| ensure_ascii=True, |
| allow_nan=False, |
| ) |
| + "\n", |
| encoding="utf-8", |
| ) |
|
|
|
|
| def _dotted_name(node: ast.AST) -> str | None: |
| if isinstance(node, ast.Name): |
| return node.id |
| if isinstance(node, ast.Attribute): |
| base = _dotted_name(node.value) |
| return f"{base}.{node.attr}" if base else None |
| return None |
|
|
|
|
| def _is_number(node: ast.expr) -> bool: |
| if isinstance(node, ast.UnaryOp) and isinstance(node.op, (ast.USub, ast.UAdd)): |
| node = node.operand |
| return isinstance(node, ast.Constant) and isinstance(node.value, (int, float)) |
|
|
|
|
| def purity_violations(source: str) -> list[str]: |
| """Enforce the public PixCell primitive catalog by AST analysis.""" |
|
|
| try: |
| tree = ast.parse(source) |
| except SyntaxError as exc: |
| return [f"syntax-error: {exc.msg}"] |
|
|
| gf_aliases: set[str] = {"gf", "gdsfactory"} |
| component_aliases: set[str] = set() |
| imported_components: dict[str, str] = {} |
| hits: list[str] = [] |
|
|
| for node in ast.walk(tree): |
| if isinstance(node, ast.Import): |
| for alias in node.names: |
| bound = alias.asname or alias.name.split(".")[0] |
| if alias.name == "gdsfactory": |
| gf_aliases.add(bound) |
| elif alias.name == "gdsfactory.components": |
| component_aliases.add(alias.asname or "components") |
| if alias.name.startswith(IMAGE_IMPORT_PREFIXES): |
| hits.append(f"image-read import: {alias.name}") |
| elif isinstance(node, ast.ImportFrom): |
| module = node.module or "" |
| if module.startswith(IMAGE_IMPORT_PREFIXES): |
| hits.append(f"image-read import: {module}") |
| if module == "gdsfactory": |
| for alias in node.names: |
| if alias.name in {"components", "c"}: |
| component_aliases.add(alias.asname or alias.name) |
| elif module == "gdsfactory.components": |
| for alias in node.names: |
| if alias.name == "*": |
| hits.append("non-catalog component import: wildcard") |
| continue |
| imported_components[alias.asname or alias.name] = alias.name |
| if alias.name not in ALLOWED_COMPONENTS: |
| hits.append(f"non-catalog component import: {alias.name}") |
|
|
| def is_component_namespace(node: ast.AST) -> bool: |
| return (isinstance(node, ast.Name) and node.id in component_aliases) or ( |
| isinstance(node, ast.Attribute) |
| and node.attr in {"components", "c"} |
| and isinstance(node.value, ast.Name) |
| and node.value.id in gf_aliases |
| ) |
|
|
| component_callables = dict(imported_components) |
| assignments = [ |
| node for node in ast.walk(tree) if isinstance(node, (ast.Assign, ast.AnnAssign)) |
| ] |
| for _ in range(len(assignments) + 1): |
| changed = False |
| for node in assignments: |
| value = node.value |
| targets = node.targets if isinstance(node, ast.Assign) else [node.target] |
| names = [target.id for target in targets if isinstance(target, ast.Name)] |
| if not names or value is None: |
| continue |
| if isinstance(value, ast.Name) and value.id in gf_aliases: |
| for name in names: |
| if name not in gf_aliases: |
| gf_aliases.add(name) |
| changed = True |
| elif is_component_namespace(value): |
| for name in names: |
| if name not in component_aliases: |
| component_aliases.add(name) |
| changed = True |
| elif isinstance(value, ast.Attribute) and is_component_namespace( |
| value.value |
| ): |
| for name in names: |
| if component_callables.get(name) != value.attr: |
| component_callables[name] = value.attr |
| changed = True |
| elif isinstance(value, ast.Name) and value.id in component_callables: |
| for name in names: |
| component = component_callables[value.id] |
| if component_callables.get(name) != component: |
| component_callables[name] = component |
| changed = True |
| if not changed: |
| break |
|
|
| tuple_count = 0 |
| numeric_count = 0 |
| for node in ast.walk(tree): |
| if isinstance(node, ast.Constant) and isinstance(node.value, (int, float)): |
| numeric_count += 1 |
| if isinstance(node, (ast.List, ast.Tuple, ast.Set)): |
| tuple_count += sum( |
| 1 |
| for item in node.elts |
| if isinstance(item, (ast.Tuple, ast.List)) |
| and len(item.elts) >= 2 |
| and all(_is_number(value) for value in item.elts) |
| ) |
| if isinstance(node, ast.Attribute): |
| if node.attr in RAW_POLYGON_CALLS: |
| hits.append(node.attr) |
| if ( |
| is_component_namespace(node.value) |
| and node.attr not in ALLOWED_COMPONENTS |
| ): |
| hits.append(f"non-catalog component: {_dotted_name(node) or node.attr}") |
| if not isinstance(node, ast.Call): |
| continue |
| name = _dotted_name(node.func) |
| leaf = name.rsplit(".", 1)[-1] if name else None |
| if leaf in RAW_POLYGON_CALLS: |
| hits.append(str(leaf)) |
| if leaf in {"open", "imread"} and ( |
| leaf == "imread" or (name and name.endswith("Image.open")) |
| ): |
| hits.append(f"image-read call: {name}") |
| if isinstance(node.func, ast.Name): |
| component = component_callables.get(node.func.id) |
| if component and component not in ALLOWED_COMPONENTS: |
| hits.append(f"non-catalog component: {component}") |
| if ( |
| isinstance(node.func, ast.Name) |
| and node.func.id == "getattr" |
| and node.args |
| and ( |
| is_component_namespace(node.args[0]) |
| or ( |
| isinstance(node.args[0], ast.Name) and node.args[0].id in gf_aliases |
| ) |
| ) |
| ): |
| hits.append("dynamic component resolution") |
| if ( |
| isinstance(node.func, ast.Name) |
| and node.func.id == "vars" |
| and node.args |
| and is_component_namespace(node.args[0]) |
| ): |
| hits.append("dynamic component mapping access") |
| if name and any(name == f"{alias}.get_component" for alias in gf_aliases): |
| hits.append("dynamic component resolver: get_component") |
|
|
| if tuple_count >= COORDINATE_TUPLE_LIMIT: |
| hits.append(f"coordinate-dump: {tuple_count} literal coordinate tuples") |
| if numeric_count >= NUMERIC_LITERAL_LIMIT: |
| hits.append(f"numeric-dump: {numeric_count} numeric literals") |
| return list(dict.fromkeys(hits)) |
|
|
|
|
| def primitive_calls(source: str) -> list[str]: |
| tree = ast.parse(source) |
| found: set[str] = set() |
| for node in ast.walk(tree): |
| if not isinstance(node, ast.Call): |
| continue |
| name = _dotted_name(node.func) |
| if not name: |
| continue |
| if ".components." in name: |
| found.add(name.rsplit(".", 1)[-1]) |
| elif ".path." in name: |
| found.add(f"path.{name.rsplit('.', 1)[-1]}") |
| elif name.endswith(".boolean") or name == "gf.boolean": |
| found.add("boolean") |
| elif name.endswith(".extrude_transition"): |
| found.add("extrude_transition") |
| elif name.endswith(".extrude"): |
| found.add("extrude") |
| return sorted(found) |
|
|
|
|
| def forbidden_release_imports(source: str) -> list[str]: |
| tree = ast.parse(source) |
| found: set[str] = set() |
| for node in ast.walk(tree): |
| modules: list[str] = [] |
| if isinstance(node, ast.Import): |
| modules.extend(alias.name for alias in node.names) |
| elif isinstance(node, ast.ImportFrom) and node.module: |
| modules.append(node.module) |
| for module in modules: |
| root = module.split(".", 1)[0] |
| if root in FORBIDDEN_RELEASE_IMPORT_ROOTS: |
| found.add(module) |
| return sorted(found) |
|
|
|
|
| def top_level_parameters(source: str) -> dict[str, Any]: |
| tree = ast.parse(source) |
| values: dict[str, Any] = {} |
| for node in tree.body: |
| if not isinstance(node, (ast.Assign, ast.AnnAssign)): |
| continue |
| targets = node.targets if isinstance(node, ast.Assign) else [node.target] |
| if len(targets) != 1 or not isinstance(targets[0], ast.Name): |
| continue |
| try: |
| values[targets[0].id] = ast.literal_eval(node.value) |
| except (ValueError, TypeError): |
| continue |
| return values |
|
|
|
|
| def scan_text(label: str, text: str) -> list[str]: |
| hits: list[str] = [] |
| for pattern in ABSOLUTE_PATH_PATTERNS: |
| if pattern.search(text): |
| hits.append(f"{label}: absolute developer path") |
| for pattern in SECRET_PATTERNS: |
| if pattern.search(text): |
| hits.append(f"{label}: possible secret") |
| return hits |
|
|
|
|
| def scan_value_strings(label: str, value: Any) -> list[str]: |
| hits: list[str] = [] |
| for text in flatten_strings(value): |
| hits.extend(scan_text(label, text)) |
| return list(dict.fromkeys(hits)) |
|
|
|
|
| def normalized_d4_sha256(image: Image.Image, size: int = 192, margin: int = 6) -> str: |
| array = np.asarray(image.convert("L")) |
| mask = array < 245 |
| if not mask.any(): |
| raise ReleaseError("image contains no foreground material") |
| ys, xs = np.nonzero(mask) |
| crop = mask[ys.min() : ys.max() + 1, xs.min() : xs.max() + 1] |
| available = size - 2 * margin |
| scale = min(available / crop.shape[0], available / crop.shape[1]) |
| height = max(1, min(available, int(round(crop.shape[0] * scale)))) |
| width = max(1, min(available, int(round(crop.shape[1] * scale)))) |
| fitted = ( |
| resize( |
| crop.astype(np.uint8), |
| (height, width), |
| order=0, |
| mode="constant", |
| preserve_range=True, |
| anti_aliasing=False, |
| ) |
| >= 0.5 |
| ) |
| canvas = np.zeros((size, size), dtype=bool) |
| x0 = (size - width) // 2 |
| y0 = (size - height) // 2 |
| canvas[y0 : y0 + height, x0 : x0 + width] = fitted |
| variants: list[np.ndarray] = [] |
| for turns in range(4): |
| rotated = np.rot90(canvas, turns) |
| variants.extend((rotated, np.fliplr(rotated))) |
| return min(sha256_bytes(item.tobytes()) for item in variants) |
|
|
|
|
| def no_absolute_path(value: Any, *, label: str) -> None: |
| text = canonical_json(value) if not isinstance(value, str) else value |
| hits = scan_text(label, text) |
| if hits: |
| raise ReleaseError("; ".join(hits)) |
|
|
|
|
| def iter_release_files(root: Path) -> Iterable[Path]: |
| for path in sorted(root.rglob("*")): |
| if not path.is_file(): |
| continue |
| if path.name == "checksums.sha256": |
| continue |
| if path.name in HOST_CONTROL_FILES: |
| continue |
| if any( |
| part in {"__pycache__", ".pytest_cache", ".ruff_cache", ".git"} |
| for part in path.parts |
| ): |
| continue |
| yield path |
|
|
|
|
| def write_checksums(root: Path) -> None: |
| target = root / "metadata" / "checksums.sha256" |
| target.parent.mkdir(parents=True, exist_ok=True) |
| lines = [ |
| f"{sha256_file(path)} {path.relative_to(root).as_posix()}" |
| for path in iter_release_files(root) |
| ] |
| target.write_text("\n".join(lines) + "\n", encoding="utf-8") |
|
|
|
|
| def verify_checksums(root: Path) -> None: |
| path = root / "metadata" / "checksums.sha256" |
| if not path.is_file(): |
| raise ReleaseError("metadata/checksums.sha256 is missing") |
| expected: dict[str, str] = {} |
| for line in path.read_text(encoding="utf-8").splitlines(): |
| digest, relative = line.split(" ", 1) |
| expected[relative] = digest |
| actual = { |
| item.relative_to(root).as_posix(): sha256_file(item) |
| for item in iter_release_files(root) |
| } |
| if expected != actual: |
| missing = sorted(set(expected) - set(actual)) |
| extra = sorted(set(actual) - set(expected)) |
| changed = sorted( |
| key for key in set(expected) & set(actual) if expected[key] != actual[key] |
| ) |
| raise ReleaseError( |
| f"checksum inventory drifted: missing={missing}, extra={extra}, " |
| f"changed={changed}" |
| ) |
|
|
|
|
| def flatten_strings(value: Any) -> Iterable[str]: |
| if isinstance(value, str): |
| yield value |
| elif isinstance(value, Mapping): |
| for child in value.values(): |
| yield from flatten_strings(child) |
| elif isinstance(value, (list, tuple)): |
| for child in value: |
| yield from flatten_strings(child) |
|
|