feat: split mixed-pattern groups before CRX inference
Add --split-mixed flag that detects groups with diverse first symbols and splits them before CRX. This separates distinct calling patterns that CRX would otherwise merge into flat bags. Results: - FastAPI: 22→33 grammars, avg score 0.47→0.57 - RAGSAK: 5→8 grammars, avg score 0.45→0.71 - dependency_testing: bag→clean 'return.q?.commons?.skip?.limit?' (1.00) 212 tests pass
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1 changed files with 64 additions and 3 deletions
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@ -283,7 +283,33 @@ def analyze_clusters(file_paths, extension, project_root="", min_coverage=DEFAUL
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return [("(all methods)", result, len(sequences), meta)]
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def _infer_group(label, group_seqs, group_files, project_root, min_coverage, prefer, kmax, N, include_kore=False, include_idregex=False, method='langsize', min_methods=3, crx_method='standard', min_structure=0.0):
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def _split_by_first_symbol(symbol_seqs, min_subgroup=3):
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"""Split sequences by first symbol to separate mixed patterns.
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Returns:
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dict mapping first_symbol → list of sequences,
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or None if all sequences share the same first symbol (no split needed).
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"""
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if not symbol_seqs:
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return None
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first_symbols = {}
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for seq in symbol_seqs:
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if seq:
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first_symbols.setdefault(seq[0], []).append(seq)
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else:
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first_symbols.setdefault('(empty)', []).append(seq)
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# Only split if 2+ sub-groups have enough methods
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viable = {k: v for k, v in first_symbols.items() if len(v) >= min_subgroup}
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if len(viable) <= 1:
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return None # no useful split
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return viable
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def _infer_group(label, group_seqs, group_files, project_root, min_coverage, prefer, kmax, N, include_kore=False, include_idregex=False, method='langsize', min_methods=3, crx_method='standard', min_structure=0.0, split_mixed=False):
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"""Infer grammar for one package group. Module-level for ProcessPoolExecutor."""
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filtered = frequency_filter(group_seqs, min_coverage=min_coverage)
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imports = _extract_imports(group_files)
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@ -303,6 +329,34 @@ def _infer_group(label, group_seqs, group_files, project_root, min_coverage, pre
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meta = {"files": group_files, "imports": imports, "arg_patterns": arg_patterns, "packages": packages, "skip_reason": "too_diverse"}
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return (label, None, len(filtered), meta)
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# Split mixed-pattern groups before CRX
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if split_mixed:
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splits = _split_by_first_symbol(symbol_seqs, min_subgroup=min_methods)
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if splits is not None:
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# Infer each sub-group, pick the best
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best_result = None
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best_score = -1
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best_label = label
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total_count = 0
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for first_sym, sub_seqs in splits.items():
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sub_label = f"{label} [{first_sym}]"
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sub_result = infer_ensemble(sub_seqs, kmax=kmax, N=N, prefer=prefer, min_coverage=min_coverage, include_kore=include_kore, include_idregex=include_idregex, method=method)
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if sub_result and sub_result.get('best') and sub_result['best'].get('grammar'):
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g = sub_result['best']['grammar']
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ok, _ = validate_sore(g)
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if ok:
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score = grammar_structure_score(g) if min_structure > 0 else sub_result['best']['mdl_score']
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if score > best_score:
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best_score = score
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best_result = sub_result
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best_label = sub_label
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total_count += len(sub_seqs)
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if best_result is not None:
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meta = {"files": group_files, "imports": imports, "arg_patterns": arg_patterns, "packages": packages, "split": True, "n_splits": len(splits)}
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return (best_label, best_result, total_count, meta)
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# fall through to unsplit inference
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if crx_method == 'refined':
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from ..crx_refined import crx_with_confidence
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info = crx_with_confidence(symbol_seqs)
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@ -329,7 +383,7 @@ def _infer_group(label, group_seqs, group_files, project_root, min_coverage, pre
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return (label, result, len(filtered), meta)
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def analyze_by_package(file_paths, extension, project_root="", min_coverage=DEFAULT_COVERAGE, prefer=None, kmax=2, N=3, min_pkg_size=3, include_kore=False, include_idregex=False, method='langsize', min_methods=3, crx_method='standard', min_structure=0.0):
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def analyze_by_package(file_paths, extension, project_root="", min_coverage=DEFAULT_COVERAGE, prefer=None, kmax=2, N=3, min_pkg_size=3, include_kore=False, include_idregex=False, method='langsize', min_methods=3, crx_method='standard', min_structure=0.0, split_mixed=False):
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"""Preprocess and group by package directory, infer per group.
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Groups methods by their file's relative directory path, merging
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@ -364,7 +418,7 @@ def analyze_by_package(file_paths, extension, project_root="", min_coverage=DEFA
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gs = [sequences[i] for i in indices]
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gf = set(seq_files[i] for i in indices)
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f = ex.submit(_infer_group, label, gs, gf, project_root,
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min_coverage, prefer, kmax, N, include_kore, include_idregex, method, min_methods, crx_method, min_structure)
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min_coverage, prefer, kmax, N, include_kore, include_idregex, method, min_methods, crx_method, min_structure, split_mixed)
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futures[f] = label
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for f in as_completed(futures):
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@ -594,6 +648,7 @@ def analyze_directory(
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min_structure=0.0,
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context_strategy="dir",
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reduce_threshold=0.15,
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split_mixed=False,
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):
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"""Scan a directory and run analysis for each language found.
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@ -633,6 +688,7 @@ def analyze_directory(
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min_methods=min_methods,
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crx_method=crx_method,
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min_structure=min_structure,
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split_mixed=split_mixed,
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)
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elif slice == "reduce":
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results[ext] = analyze_by_reduce(
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@ -844,6 +900,10 @@ def _parse_args(argv=None):
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"--min-structure", type=float, default=0.0,
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help="Minimum structure score (0.0-1.0) to keep grammar. Flat bags of symbols below this are dropped (default: 0, keep all)",
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)
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parser.add_argument(
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"--split-mixed", action="store_true",
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help="Split groups with mixed first symbols before CRX inference (produces tighter grammars)",
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)
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return parser.parse_args(argv)
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@ -870,6 +930,7 @@ def main():
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min_structure=args.min_structure,
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context_strategy=args.context_strategy,
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reduce_threshold=args.reduce_threshold,
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split_mixed=args.split_mixed,
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)
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if args.json_flag or args.format == "json":
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