22699554347

Committed 05 Mar 2026 02:33AM UTC coverage: 19.922% (-50.1%) from 70.041%

Build Type

push

github

Committed by Rui Hu

Commit Message

Merge github/main, resolve two version conflicts by keeping gitlab local

Coverage Stats

6 of 2484 new or added lines in 35 files covered. (0.24%)

871 of 4372 relevant lines covered (19.92%)

0.2 hits per line

Source File
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0.0

/src/pipa/analysis/flamegraph/api.py

1	# -- coding: utf-8 --
2	"""
3	Thin facade API to unify parser and analyzer while keeping them decoupled.
4
5	This module depends on both sides and exposes simple high-level entry points.
6	"""
7
NEW 8	from __future__ import annotations	×
9
NEW 10	from typing import Dict, Mapping, Iterable, Sequence	×
11
NEW 12	from pipa.analysis.flamegraph.io import parse_folded_file, parse_folded_lines	×
NEW 13	from pipa.analysis.flamegraph.analyzer import FoldedAnalyzer	×
NEW 14	from pipa.parser.flamegraph.stackcollapse_perf import (	×
15	CollapseOptions,
16	collapse,
17	collapse_file,
18	)
19
20	# --------------- Collapse to mapping ---------------
21
22
NEW 23	def collapse_to_mapping(	×
24	lines: Iterable[str], options: CollapseOptions
25	) -> Dict[str, int]:
NEW 26	return collapse(lines, options)	×
27
28
NEW 29	def collapse_file_to_mapping(path: str, options: CollapseOptions) -> Dict[str, int]:	×
NEW 30	return collapse_file(path, options)	×
31
32
33	# --------------- Analyze from mapping or file ---------------
34
35
NEW 36	def analyze_mapping(stacks: Mapping[str, int]) -> FoldedAnalyzer:	×
NEW 37	return FoldedAnalyzer.from_collapsed(stacks)	×
38
39
NEW 40	def analyze_file(path: str) -> FoldedAnalyzer:	×
NEW 41	stacks = parse_folded_file(path)	×
NEW 42	return FoldedAnalyzer.from_collapsed(stacks)	×
43
44
NEW 45	def analyze_lines(lines: Iterable[str]) -> FoldedAnalyzer:	×
NEW 46	stacks = parse_folded_lines(lines)	×
NEW 47	return FoldedAnalyzer.from_collapsed(stacks)	×
48
49
NEW 50	def analyze_collapse_file(path: str, options: CollapseOptions) -> FoldedAnalyzer:	×
NEW 51	stacks = collapse_file_to_mapping(path, options)	×
NEW 52	return FoldedAnalyzer.from_collapsed(stacks)	×
53
54
55	# --------------- Subset helpers ---------------
56
57
NEW 58	def subset_mapping_by_symbol(	×
59	stacks: Mapping[str, int], symbol: str, contains_fallback: bool = True
60	) -> Dict[str, int]:
NEW 61	subset: Dict[str, int] = {}	×
NEW 62	for k, w in stacks.items():	×
NEW 63	parts = k.split(";")	×
NEW 64	if len(parts) >= 2 and symbol in parts[1:]:	×
NEW 65	subset[k] = subset.get(k, 0) + w	×
NEW 66	elif contains_fallback and symbol in k:	×
NEW 67	subset[k] = subset.get(k, 0) + w	×
NEW 68	return subset	×
69
70
NEW 71	def analyzer_from_symbol_subset(	×
72	stacks: Mapping[str, int], symbol: str, contains_fallback: bool = True
73	) -> FoldedAnalyzer:
NEW 74	return FoldedAnalyzer.from_collapsed(	×
75	subset_mapping_by_symbol(stacks, symbol, contains_fallback)
76	)
77
78
NEW 79	def filter_stacks_by_prefixes(	×
80	analyzer: FoldedAnalyzer, prefixes: Sequence[str], k: int = 1000
81	):
NEW 82	return analyzer.filter_stacks_by_prefixes(prefixes, k)	×

ZJU-SPAIL / pipa / 22699554347

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