Datasets:
Download scripts/verify_animations.py from figma-ai/motion-graphics-bench: direct link, hf CLI and curl.
- Browser
- Download file 5.09 kB
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https://huggingface.co/datasets/figma-ai/motion-graphics-bench/resolve/main/scripts/verify_animations.py
- Command line
-
hf download hf://datasets/figma-ai/motion-graphics-bench/scripts/verify_animations.py
-
curl -L -o verify_animations.py https://huggingface.co/datasets/figma-ai/motion-graphics-bench/resolve/main/scripts/verify_animations.py
5.09 kB
| """Measure SVG frames and run trusted benchmark verifiers without OS sandboxing.""" | |
| from __future__ import annotations | |
| import ast | |
| import hashlib | |
| import json | |
| import os | |
| import re | |
| import shutil | |
| import subprocess | |
| import sys | |
| import tempfile | |
| import time | |
| from pathlib import Path | |
| from typing import Any | |
| _BASE64_BLOB = re.compile(r"(;base64,)([A-Za-z0-9+/=]{64,})") | |
| def strip_base64(svg: str) -> str: | |
| def replace(match: re.Match[str]) -> str: | |
| blob = match.group(2) | |
| digest = hashlib.sha1(blob.encode()).hexdigest()[:12] | |
| return f";base64,STRIPPED[{len(blob)}B,sha1:{digest}]" | |
| return _BASE64_BLOB.sub(replace, svg) | |
| def run_verifiers(program: str, matrix: dict[str, Any], *, timeout: float = 900) -> dict[str, Any]: | |
| module_error = "" | |
| try: | |
| tree = ast.parse(program) | |
| except SyntaxError as error: | |
| module_error = str(error) | |
| checks = [] | |
| else: | |
| checks = sorted({ | |
| node.name for node in tree.body | |
| if isinstance(node, ast.FunctionDef) and node.name.startswith("ver_") | |
| }) | |
| if not checks: | |
| module_error = "no top-level ver_*(matrix) functions found" | |
| results = [] | |
| with tempfile.TemporaryDirectory(prefix="mgb-verifiers-") as temporary: | |
| root = Path(temporary) | |
| shutil.copyfile(__file__, root / "verify_animations.py") | |
| shutil.copyfile(Path(__file__).with_name("verifier_helper_library.py"), root / "verifier_helper_library.py") | |
| (root / "matrix.json").write_text(json.dumps(matrix, allow_nan=False), encoding="utf-8") | |
| (root / "verifier.py").write_text(program, encoding="utf-8") | |
| deadline = time.monotonic() + timeout | |
| for name in checks: | |
| result = {"name": name, "passed": False, "detail": "", "measured": {}, "logs": "", "error": ""} | |
| remaining = deadline - time.monotonic() | |
| if remaining <= 0: | |
| result["error"] = "verification deadline expired before this check" | |
| else: | |
| output = root / f"{name}.json" | |
| try: | |
| process = subprocess.run( | |
| [sys.executable, "-I", "-S", "-B", str(root / "verify_animations.py"), | |
| str(root / "matrix.json"), str(root / "verifier.py"), name, str(output)], | |
| cwd=root, env={"TMPDIR": str(root), "LANG": "C.UTF-8"}, | |
| stdin=subprocess.DEVNULL, capture_output=True, text=True, timeout=remaining, | |
| ) | |
| except subprocess.TimeoutExpired: | |
| result["error"] = f"verification timed out after {timeout:g} seconds" | |
| else: | |
| result["logs"] = process.stdout | |
| if process.returncode or not output.is_file(): | |
| result["error"] = process.stderr or f"verifier exited {process.returncode} without a result" | |
| else: | |
| result.update(json.loads(output.read_text(encoding="utf-8"))) | |
| results.append(result) | |
| return { | |
| "passed_checks": [result["name"] for result in results if result["passed"]], | |
| "failed_checks": [result["name"] for result in results if not result["passed"]], | |
| "verification_decision": not module_error and bool(results) and all(result["passed"] for result in results), | |
| "module_error": module_error, | |
| "verification_errors": {result["name"]: result["error"] for result in results if result["error"]}, | |
| "results": results, | |
| } | |
| def verify_animations( | |
| program: str, frames: list[str], *, fps: float, timeout: float = 900, | |
| ) -> dict[str, Any]: | |
| from frames_to_matrix import measure | |
| matrix = measure([strip_base64(frame) for frame in frames], fps=fps, timeout=timeout) | |
| return { | |
| "frame_count": len(frames), | |
| "measurement": matrix["info"], | |
| **run_verifiers(program, matrix, timeout=timeout), | |
| } | |
| def _run_check(matrix_path: str, program_path: str, name: str, output_path: str) -> None: | |
| sys.path.insert(0, os.getcwd()) | |
| matrix = json.loads(Path(matrix_path).read_text(encoding="utf-8")) | |
| namespace: dict[str, Any] = {} | |
| exec(compile(Path(program_path).read_text(encoding="utf-8"), "<verifier_module>", "exec"), namespace) | |
| result = namespace[name](matrix) | |
| if isinstance(result, bool): | |
| result = {"passed": result, "detail": "", "measured": {}} | |
| if not isinstance(result, dict) or not isinstance(result.get("passed"), bool): | |
| raise TypeError(f"{name} must return a bool or a dictionary with a boolean 'passed' field") | |
| detail, measured = result.get("detail", ""), result.get("measured", {}) | |
| if not isinstance(detail, str) or not isinstance(measured, dict): | |
| raise TypeError(f"{name} must return a string detail and a dictionary of measurements") | |
| Path(output_path).write_text(json.dumps({ | |
| "name": name, "passed": result["passed"], "detail": detail, "measured": measured, | |
| }, allow_nan=False), encoding="utf-8") | |
| if __name__ == "__main__": | |
| _run_check(*sys.argv[1:]) | |