Text Generation
PEFT
Safetensors
zerolang
reinforcement-learning
verifiers
code-editing
tool-use
graph-editing
laguna-xs2
lora
fine-tune
Instructions to use poolside-laguna-hackathon/zerolang-editing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use poolside-laguna-hackathon/zerolang-editing with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
File size: 10,622 Bytes
bb1b296 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 | """Path-based Zerolang compiler tools for the editing environment."""
from __future__ import annotations
import hashlib
import json
import os
import platform
import re
import shutil
import subprocess
import tempfile
import threading
import urllib.request
from pathlib import Path
from typing import Any
_ZERO_INSTALL_LOCK = threading.Lock()
def _download(url: str, timeout: int = 60) -> bytes:
with urllib.request.urlopen(url, timeout=timeout) as response:
return response.read()
def _zero_asset_candidates() -> list[str]:
system = platform.system()
machine = platform.machine().lower()
if machine in {"arm64", "aarch64"}:
cpu = "arm64"
elif machine in {"x86_64", "amd64"}:
cpu = "x64"
else:
return []
if system == "Darwin":
return [f"zero-darwin-{cpu}"]
if system == "Linux":
return [f"zero-linux-musl-{cpu}", f"zero-linux-{cpu}"]
return []
def _install_zero_binary() -> str | None:
install_dir = Path(
os.environ.get("ZERO_INSTALL_DIR")
or Path(tempfile.gettempdir()) / "zerolang-editing-zero" / "bin"
).expanduser()
binary = install_dir / "zero"
if binary.exists():
return str(binary)
with _ZERO_INSTALL_LOCK:
if binary.exists():
return str(binary)
base_url = os.environ.get(
"ZERO_DOWNLOAD_BASE_URL",
"https://github.com/vercel-labs/zero/releases/latest/download",
).rstrip("/")
checksums_text = _download(f"{base_url}/CHECKSUMS.txt").decode()
checksums = {}
for line in checksums_text.splitlines():
parts = line.split()
if len(parts) >= 2:
checksums[parts[1]] = parts[0]
install_dir.mkdir(parents=True, exist_ok=True)
last_error: Exception | None = None
for asset in _zero_asset_candidates():
try:
data = _download(f"{base_url}/{asset}")
expected = checksums.get(asset)
actual = hashlib.sha256(data).hexdigest()
if expected and actual != expected:
raise RuntimeError(f"checksum mismatch for {asset}")
binary.write_bytes(data)
os.chmod(binary, 0o755)
check = subprocess.run(
[str(binary), "--version"],
text=True,
capture_output=True,
timeout=10,
)
if check.returncode == 0:
return str(binary)
except Exception as exc:
last_error = exc
if binary.exists():
binary.unlink()
continue
if last_error is not None:
raise RuntimeError(f"failed to install zero binary: {last_error}") from last_error
return None
def _zero_binary(zero_path: str | None = None) -> str | None:
candidates = [
zero_path,
shutil.which("zero"),
str(Path.home() / ".zero" / "bin" / "zero"),
]
for candidate in candidates:
if candidate and Path(candidate).exists():
return candidate
return _install_zero_binary()
def _json_tool_result(result: dict[str, Any]) -> str:
return json.dumps(result, indent=2, sort_keys=True)
def read_source(path: str | Path) -> str:
return Path(path).read_text()
def _source_fingerprint(path: Path) -> dict[str, Any]:
if not path.exists():
return {"path": str(path), "exists": False}
data = path.read_bytes()
return {
"path": str(path),
"exists": True,
"bytes": len(data),
"source_sha256": hashlib.sha256(data).hexdigest(),
}
def _summarize_graph_dump(graph_dump: str) -> dict[str, Any]:
summary: dict[str, Any] = {
"hash": None,
"literals": [],
"functions": [],
"calls": [],
"identifiers": [],
}
for line in graph_dump.splitlines():
if line.startswith("hash "):
summary["hash"] = line.split('"', 2)[1]
elif " Literal " in line:
match = re.match(r'node (#[0-9a-f]+) Literal type:"([^"]+)" value:"(.*)"', line)
if match:
summary["literals"].append(
{"node": match.group(1), "type": match.group(2), "value": match.group(3)}
)
elif " Function " in line:
match = re.match(r'node (#[0-9a-f]+) Function name:"([^"]+)" type:"([^"]+)"', line)
if match:
summary["functions"].append(
{"node": match.group(1), "name": match.group(2), "type": match.group(3)}
)
elif " MethodCall " in line:
match = re.match(r'node (#[0-9a-f]+) MethodCall name:"([^"]+)" type:"([^"]+)"', line)
if match:
summary["calls"].append(
{"node": match.group(1), "name": match.group(2), "type": match.group(3)}
)
elif " Identifier " in line:
match = re.match(r'node (#[0-9a-f]+) Identifier name:"([^"]+)"', line)
if match:
summary["identifiers"].append({"node": match.group(1), "name": match.group(2)})
return summary
def run_zero_path(args: list[str], path: str | Path, zero_path: str | None = None) -> dict[str, Any]:
binary = _zero_binary(zero_path)
source_path = Path(path)
if binary is None:
return {
"ok": False,
"tool_error": "zero binary not found; install with https://zerolang.ai/install.sh",
**_source_fingerprint(source_path),
}
if not source_path.exists():
return {
"ok": False,
"tool_error": f"source file does not exist: {source_path}",
**_source_fingerprint(source_path),
}
proc = subprocess.run(
[binary, *args, str(source_path)],
text=True,
capture_output=True,
timeout=10,
env={**os.environ, "PATH": f"{Path(binary).parent}:{os.environ.get('PATH', '')}"},
)
return {
"ok": proc.returncode == 0,
"returncode": proc.returncode,
"stdout": proc.stdout[-12000:],
"stderr": proc.stderr[-4000:],
**_source_fingerprint(source_path),
}
def run_zero_source(
args: list[str], source: str, zero_path: str | None = None
) -> dict[str, Any]:
with tempfile.TemporaryDirectory(prefix="zerolang-editing-score-") as tmp:
source_path = Path(tmp) / "program.0"
source_path.write_text(source)
return run_zero_path(args, source_path, zero_path)
def make_zero_tools(zero_path: str | None = None) -> list[Any]:
def zero_check(path: str) -> str:
"""Run `zero check --json` on a `.0` file path on disk."""
return _json_tool_result(run_zero_path(["check", "--json"], path, zero_path))
def zero_graph_summary(path: str) -> str:
"""Return compact graph hash and patchable node facts for a `.0` file path."""
result = run_zero_path(["graph", "dump"], path, zero_path)
if result.get("ok"):
result["summary"] = _summarize_graph_dump(result.get("stdout", ""))
return _json_tool_result(result)
def zero_graph_dump(path: str) -> str:
"""Run `zero graph dump` on a `.0` file path on disk."""
return _json_tool_result(run_zero_path(["graph", "dump"], path, zero_path))
def zero_graph_json(path: str) -> str:
"""Run `zero graph --json` on a `.0` file path on disk."""
return _json_tool_result(run_zero_path(["graph", "--json"], path, zero_path))
def zero_fix_plan(path: str) -> str:
"""Run `zero fix --plan --json` on a `.0` file path on disk."""
return _json_tool_result(run_zero_path(["fix", "--plan", "--json"], path, zero_path))
def zero_graph_patch(path: str, expect_graph_hash: str, op: str) -> str:
"""Apply one checked `zero graph patch` operation to a `.0` file path on disk."""
binary = _zero_binary(zero_path)
source_path = Path(path)
if binary is None:
return _json_tool_result(
{
"ok": False,
"tool_error": "zero binary not found; install with https://zerolang.ai/install.sh",
**_source_fingerprint(source_path),
}
)
if not source_path.exists():
return _json_tool_result(
{
"ok": False,
"tool_error": f"source file does not exist: {source_path}",
**_source_fingerprint(source_path),
}
)
proc = subprocess.run(
[
binary,
"graph",
"patch",
str(source_path),
"--expect-graph-hash",
expect_graph_hash,
"--op",
op,
],
text=True,
capture_output=True,
timeout=10,
env={**os.environ, "PATH": f"{Path(binary).parent}:{os.environ.get('PATH', '')}"},
)
return _json_tool_result(
{
"ok": proc.returncode == 0,
"returncode": proc.returncode,
"stdout": proc.stdout[-12000:],
"stderr": proc.stderr[-4000:],
**_source_fingerprint(source_path),
}
)
def zero_skills_get(skill: str) -> str:
"""Return version-matched Zerolang guidance for `language`, `diagnostics`, `stdlib`, or `zero`."""
binary = _zero_binary(zero_path)
if binary is None:
return _json_tool_result(
{
"ok": False,
"tool_error": "zero binary not found; install with https://zerolang.ai/install.sh",
}
)
proc = subprocess.run(
[binary, "skills", "get", skill],
text=True,
capture_output=True,
timeout=10,
env={**os.environ, "PATH": f"{Path(binary).parent}:{os.environ.get('PATH', '')}"},
)
return _json_tool_result(
{
"ok": proc.returncode == 0,
"returncode": proc.returncode,
"stdout": proc.stdout[-12000:],
"stderr": proc.stderr[-4000:],
}
)
return [
zero_check,
zero_graph_summary,
zero_graph_dump,
zero_graph_json,
zero_fix_plan,
zero_graph_patch,
zero_skills_get,
]
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