Its pattern also matched "demote" and the Hungarian "Demokratikus", so the footprint read 5 after the demo was gone (and 56, not 53, in the S1 baseline). It now uses the removedFeatures contract test's pattern.
202 lines
7.9 KiB
Python
202 lines
7.9 KiB
Python
"""The codebase's health numbers in one deterministic run: size, complexity, tests, governance
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weight, comment noise and the footprint of features marked for removal. It REPORTS, it never fails
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— what used to be a gate (the size/complexity ratchet) is read here instead, and an epic compares
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its before and after.
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python scripts/audit_metrics.py the static numbers (seconds), as JSON on stdout
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python scripts/audit_metrics.py --speed plus the speed baseline: frontend/e2e/speed.measure.ts
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against the localdev stack (E2E_PASSWORD must be set;
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the ops wrapper exports it)
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The readings are counts of files and lines, so a number moves only when the code does.
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"""
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import ast
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import json
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import os
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import re
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import subprocess
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import sys
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from pathlib import Path
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ROOT = Path(__file__).resolve().parent.parent
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BE_APP = ROOT / "backend" / "app"
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BE_TESTS = ROOT / "backend" / "tests"
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FE_SRC = ROOT / "frontend" / "src"
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BIG_FILE = 800
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BE_COMPLEXITY = 10 # ruff's C901 default, the backend ratchet's limit
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FE_COMPLEXITY = 20 # the frontend ratchet's limit
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EPIC_CODE = re.compile(r"\b(E\d{2}|R\d{1,2})(\s?S\d+)?\b")
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NARRATION = re.compile(r"\b(used to|no longer)\b", re.IGNORECASE)
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def _is_fe_test(p: Path) -> bool:
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return bool(re.search(r"\.(test|testkit)\.tsx?$", p.name))
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def _files(root: Path, pattern: str) -> list[Path]:
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return sorted(p for p in root.rglob(pattern) if "__pycache__" not in p.parts)
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def _lines(paths: list[Path]) -> list[tuple[Path, list[str]]]:
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return [(p, p.read_text(encoding="utf-8").splitlines()) for p in paths]
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def _comment_lines(lines: list[str], python: bool) -> int:
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"""Comment lines; for Python the docstrings count too — this codebase writes its "why" there."""
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if not python:
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return sum(1 for line in lines if line.lstrip().startswith(("//", "/*", "*")))
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hashes = sum(1 for line in lines if line.lstrip().startswith("#"))
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docs = 0
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for node in ast.walk(ast.parse("\n".join(lines))):
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body = getattr(node, "body", None)
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if not isinstance(body, list) or not body:
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continue
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first = body[0]
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if (
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isinstance(first, ast.Expr)
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and isinstance(first.value, ast.Constant)
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and isinstance(first.value.value, str)
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):
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docs += (first.end_lineno or first.lineno) - first.lineno + 1
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return hashes + docs
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def _size(be: list[tuple[Path, list[str]]], fe: list[tuple[Path, list[str]]]) -> dict[str, object]:
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be_tests = _lines(_files(BE_TESTS, "*.py"))
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fe_tests = _lines([p for p in _files(FE_SRC, "*.ts*") if _is_fe_test(p)])
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be_n = sum(len(ls) for _, ls in be)
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fe_n = sum(len(ls) for _, ls in fe)
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return {
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"backend_lines": be_n,
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"frontend_lines": fe_n,
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"backend_test_ratio": round(sum(len(ls) for _, ls in be_tests) / be_n, 2),
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"frontend_test_ratio": round(sum(len(ls) for _, ls in fe_tests) / fe_n, 2),
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"files_over_800": sum(1 for _, ls in be + fe if len(ls) > BIG_FILE),
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"largest_file": max(((len(ls), p) for p, ls in be + fe), key=lambda t: t[0])[1]
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.relative_to(ROOT)
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.as_posix(),
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"tables": len(re.findall(r'__tablename__ = "', (BE_APP / "models.py").read_text("utf-8"))),
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}
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def _complexity() -> dict[str, object]:
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ruff = subprocess.run(
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[sys.executable, "-m", "ruff", "check", "--config", "backend/ruff.toml", "--select", "C901"]
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+ ["--output-format", "json", "--exit-zero", "backend/app"],
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cwd=ROOT,
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capture_output=True,
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text=True,
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check=True,
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)
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found = [
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int(m) for d in json.loads(ruff.stdout) for m in re.findall(r"\((\d+) > ", d["message"])
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]
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fe = subprocess.run(
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["node", "scripts/fe_complexity.mjs", str(FE_COMPLEXITY)],
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cwd=ROOT,
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capture_output=True,
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text=True,
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check=True,
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)
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fe_json = json.loads(fe.stdout)
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return {
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f"backend_functions_over_{BE_COMPLEXITY}": len(found),
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"backend_max_complexity": max(found, default=0),
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f"frontend_functions_over_{FE_COMPLEXITY}": fe_json["over"],
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"frontend_max_complexity": fe_json["max"],
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}
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def _noise(be: list[tuple[Path, list[str]]], fe: list[tuple[Path, list[str]]]) -> dict[str, object]:
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every = be + fe
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epic = [(p, ln) for p, ls in every for ln in ls if EPIC_CODE.search(ln)]
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be_c = sum(_comment_lines(ls, True) for _, ls in be)
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fe_c = sum(_comment_lines(ls, False) for _, ls in fe)
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return {
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"epic_code_lines": len(epic),
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"epic_code_files": len({p for p, _ in epic}),
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"history_narration_lines": sum(1 for _, ls in every for ln in ls if NARRATION.search(ln)),
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"backend_comment_share": round(be_c / sum(len(ls) for _, ls in be), 3),
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"frontend_comment_share": round(fe_c / sum(len(ls) for _, ls in fe), 3),
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}
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def _governance() -> dict[str, object]:
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eslint = (ROOT / "frontend" / "eslint.config.js").read_text("utf-8")
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check = (ROOT / "scripts" / "check.sh").read_text("utf-8")
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contract = [p for p in _files(FE_SRC, "*.contract.test.ts*")]
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return {
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"gate_lanes": len(re.findall(r'^\s*lane "', check, re.MULTILINE)),
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"local_eslint_rules": len(set(re.findall(r'"local/([a-z0-9-]+)"', eslint))),
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"frontend_contract_tests": len(contract),
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"gates_snapshot_lines": len(
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(FE_SRC / "lib" / "gates.snapshot.json").read_text("utf-8").splitlines()
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),
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"claude_md_lines": len((ROOT / "CLAUDE.md").read_text("utf-8").splitlines()),
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"gates_md_lines": len((ROOT / "docs" / "gates.md").read_text("utf-8").splitlines()),
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}
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def _footprint(
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be: list[tuple[Path, list[str]]], fe: list[tuple[Path, list[str]]]
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) -> dict[str, int]:
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"""Files that still mention a feature marked for removal: 0 once it is gone."""
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patterns = {
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# the word removedFeatures.contract.test.ts bans: not "demote", not "Demokratikus"
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"demo_files": re.compile(r"demo(?!t(e|ion)|kr)", re.IGNORECASE),
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"chat_files": re.compile(r"\bchat\b|\bmessages?\.py|\bChat[A-Z]|message_keys"),
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# the public form, not the admin's access-request queue (that stays)
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"access_request_form_files": re.compile(r"request[-_]access|requestAccess|AccessRequestIn"),
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}
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return {
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k: sum(1 for _, ls in be + fe if any(rx.search(ln) for ln in ls))
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for k, rx in patterns.items()
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}
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def _speed() -> dict[str, object]:
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env = {**os.environ, "PW_SPEED": "1"}
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out = ROOT / "frontend" / "e2e" / ".speed" / "latest.json"
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out.unlink(missing_ok=True) # never report an earlier run's readings
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run = subprocess.run(
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["npx", "playwright", "test", "--project=speed", "--reporter=line"],
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cwd=ROOT / "frontend",
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env=env,
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capture_output=True,
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text=True,
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encoding="utf-8",
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shell=os.name == "nt", # npx is a .cmd on Windows
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check=False, # a failed run is reported in the result, not raised
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)
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if run.returncode != 0 or not out.exists():
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lines = [ln.strip() for ln in (run.stdout + run.stderr).splitlines() if ln.strip()]
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first_error = next(
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(i for i, ln in enumerate(lines) if "Error" in ln), max(0, len(lines) - 15)
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)
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return {"error": "the speed run failed", "output": lines[first_error : first_error + 15]}
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return json.loads(out.read_text("utf-8"))
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def main() -> int:
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be = _lines(_files(BE_APP, "*.py"))
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fe = _lines(
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[p for p in _files(FE_SRC, "*.ts*") if not _is_fe_test(p) and not p.name.endswith(".d.ts")]
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)
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report: dict[str, object] = {
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"size": _size(be, fe),
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"complexity": _complexity(),
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"noise": _noise(be, fe),
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"governance": _governance(),
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"footprint": _footprint(be, fe),
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}
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if "--speed" in sys.argv[1:]:
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report["speed"] = _speed()
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sys.stdout.write(json.dumps(report, indent=2) + "\n")
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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