File size: 4,106 Bytes
4344b33 | 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 | from __future__ import annotations
import json
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, List, Optional, Set, Tuple
@dataclass
class CoverageBin:
name: str
hit_count: int
goal: int = 1
@property
def covered(self) -> bool:
return self.hit_count >= self.goal
@dataclass
class SimResult:
passed: bool
total_bins: int = 0
covered_bins: int = 0
bins: List[CoverageBin] = field(default_factory=list)
errors: List[str] = field(default_factory=list)
log_output: str = ""
seed: int = 0
@property
def coverage_pct(self) -> float:
if self.total_bins == 0:
return 0.0
return (self.covered_bins / self.total_bins) * 100.0
@property
def uncovered_bins(self) -> List[CoverageBin]:
return [b for b in self.bins if not b.covered]
class CoverageDB:
"""Merges coverage results across multiple seeds for regression."""
def __init__(self):
self.seed_results: List[SimResult] = []
self.merged_bins: Dict[str, CoverageBin] = {}
def add_seed_result(self, result: SimResult) -> None:
self.seed_results.append(result)
for b in result.bins:
key = b.name
if key in self.merged_bins:
existing = self.merged_bins[key]
existing.hit_count = max(existing.hit_count, b.hit_count)
existing.goal = max(existing.goal, b.goal)
else:
self.merged_bins[key] = CoverageBin(name=b.name, hit_count=b.hit_count, goal=b.goal)
def merge(self) -> SimResult:
bins = list(self.merged_bins.values())
covered = sum(1 for b in bins if b.covered)
total = len(bins)
return SimResult(
passed=covered == total,
total_bins=total,
covered_bins=covered,
bins=bins,
errors=[],
log_output=self._format_summary(bins, covered, total),
)
def _format_summary(self, bins: List[CoverageBin], covered: int, total: int) -> str:
pct = (covered / total * 100) if total else 0
lines = [
f"--- CoverageDB merged ({len(self.seed_results)} seeds) ---",
]
for b in bins:
status = "HIT" if b.covered else "MISS"
lines.append(f"COVERAGE: {b.name} {b.hit_count}/{b.goal} [{status}]")
lines.append(f"--- Merged: {covered}/{total} ({pct:.1f}%) ---")
return "\n".join(lines)
def save(self, path: str) -> None:
data = {
"num_seeds": len(self.seed_results),
"merged": {k: {"hit_count": v.hit_count, "goal": v.goal}
for k, v in self.merged_bins.items()},
}
Path(path).write_text(json.dumps(data, indent=2), encoding="utf-8")
@classmethod
def load(cls, path: str) -> CoverageDB:
data = json.loads(Path(path).read_text(encoding="utf-8"))
db = cls()
for name, bdata in data.get("merged", {}).items():
db.merged_bins[name] = CoverageBin(name=name, **bdata)
return db
@property
def uncovered(self) -> List[CoverageBin]:
return [b for b in self.merged_bins.values() if not b.covered]
class Simulator:
def __init__(self, work_dir: str = "sim_output"):
self.work_dir = work_dir
def run(self, files: List[str], top: str = "testbench",
plusargs: Optional[List[str]] = None) -> SimResult:
raise NotImplementedError
def run_multi_seed(self, files: List[str], num_seeds: int = 3,
top: str = "testbench") -> Tuple[SimResult, CoverageDB]:
db = CoverageDB()
merged = None
for s in range(num_seeds):
result = self.run(files, top=top, plusargs=[f"+seed={s+1}"])
result.seed = s + 1
db.add_seed_result(result)
merged = db.merge()
return merged, db
def parse_coverage(self, log: str) -> SimResult:
raise NotImplementedError
def name(self) -> str:
return self.__class__.__name__
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