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

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0.0

/src/pipa/analysis/flamegraph/csv_export.py

1	# -- coding: utf-8 --
NEW 2	from __future__ import annotations	×
3
NEW 4	import csv	×
NEW 5	from typing import Iterable, Optional, Union	×
6
NEW 7	from pipa.analysis.flamegraph.analyzer import (	×
8	SymbolStat,
9	StackStat,
10	SymbolShare,
11	StackShare,
12	)
13
14	# The CSV writers accept either raw stats or enriched shares.
15	# If enriched shares are provided, percentage columns are written directly.
16	# Otherwise, if a total is provided, percentages are computed on the fly for backward compatibility.
17
18
NEW 19	def write_symbol_stats_csv(	×
20	path: str,
21	stats: Iterable[Union[SymbolStat, SymbolShare]],
22	total: Optional[int] = None,
23	) -> None:
NEW 24	with open(path, "w", newline="", encoding="utf-8") as f:	×
NEW 25	writer = csv.writer(f)	×
NEW 26	first = None	×
NEW 27	for first in stats:	×
NEW 28	break	×
29	# Recreate iterator: if we consumed one, we need to write it back.
NEW 30	if first is None:	×
NEW 31	(	×
32	writer.writerow(["symbol", "inclusive", "leaf"])
33	if not total
34	else writer.writerow(
35	[
36	"symbol",
37	"inclusive",
38	"inclusive_pct",
39	"leaf",
40	"leaf_pct",
41	]
42	)
43	)
NEW 44	return	×
45	# Determine mode by instance type
NEW 46	is_share = isinstance(first, SymbolShare)	×
47	# Write header
NEW 48	if is_share:	×
NEW 49	writer.writerow(	×
50	["symbol", "inclusive", "inclusive_pct", "leaf", "leaf_pct"]
51	)
NEW 52	elif total and total > 0:	×
NEW 53	writer.writerow(	×
54	["symbol", "inclusive", "inclusive_pct", "leaf", "leaf_pct"]
55	)
56	else:
NEW 57	writer.writerow(["symbol", "inclusive", "leaf"])	×
58	# Write first row then the rest
59
NEW 60	def write_row(s):	×
NEW 61	if is_share:	×
NEW 62	writer.writerow(	×
63	[
64	s.symbol,
65	s.inclusive,
66	f"{s.inclusive_pct:.2f}%",
67	s.leaf,
68	f"{s.leaf_pct:.2f}%",
69	]
70	)
NEW 71	elif total and total > 0:	×
NEW 72	inc_pct = (s.inclusive / total) * 100.0	×
NEW 73	leaf_pct = (s.leaf / total) * 100.0	×
NEW 74	writer.writerow(	×
75	[
76	s.symbol,
77	s.inclusive,
78	f"{inc_pct:.2f}%",
79	s.leaf,
80	f"{leaf_pct:.2f}%",
81	]
82	)
83	else:
NEW 84	writer.writerow([s.symbol, s.inclusive, s.leaf])	×
85
NEW 86	write_row(first)	×
NEW 87	for s in stats:	×
NEW 88	write_row(s)	×
89
90
NEW 91	def write_stack_stats_csv(	×
92	path: str,
93	stacks: Iterable[Union[StackStat, StackShare]],
94	total: Optional[int] = None,
95	) -> None:
NEW 96	with open(path, "w", newline="", encoding="utf-8") as f:	×
NEW 97	writer = csv.writer(f)	×
NEW 98	first = None	×
NEW 99	for first in stacks:	×
NEW 100	break	×
NEW 101	if first is None:	×
NEW 102	(	×
103	writer.writerow(["stack", "weight"])
104	if not total
105	else writer.writerow(
106	[
107	"stack",
108	"weight",
109	"weight_pct",
110	]
111	)
112	)
NEW 113	return	×
NEW 114	is_share = isinstance(first, StackShare)	×
NEW 115	if is_share:	×
NEW 116	writer.writerow(["stack", "weight", "weight_pct"])	×
NEW 117	elif total and total > 0:	×
NEW 118	writer.writerow(["stack", "weight", "weight_pct"])	×
119	else:
NEW 120	writer.writerow(["stack", "weight"])	×
121
NEW 122	def write_row(s):	×
NEW 123	if is_share:	×
NEW 124	writer.writerow([s.stack, s.weight, f"{s.weight_pct:.2f}%"])	×
NEW 125	elif total and total > 0:	×
NEW 126	weight_pct = (s.weight / total) * 100.0	×
NEW 127	writer.writerow([s.stack, s.weight, f"{weight_pct:.2f}%"])	×
128	else:
NEW 129	writer.writerow([s.stack, s.weight])	×
130
NEW 131	write_row(first)	×
NEW 132	for s in stacks:	×
NEW 133	write_row(s)	×

ZJU-SPAIL / pipa / 22699554347

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