tools: add performance-log-coalesce.py; use in performance-log-viewer

Add a new performance-log-coalesce.py tool, which groups together
performance-log address-map entries belonging to the same function
into a single symbol, by filling-in missing base symbol addresses.
The addresses are grouped such that each set of addresses
corresponding to a symbol of the same name, in the same source
file, are given the same (unique, but arbitrary) base address.
See the previous commit for why this is necessary.

This should work fine in most cases, however, for logs produced on
Windows, it can over-coalesce addresses belonging to different C++
lambda-functions in the same source file, since they all seem to be
given the same _FUN symbol name.

Use the new tool as part of the pipeline in performance-log-viewer.
This commit is contained in:
Ell 2018-10-10 15:16:11 -04:00
parent 52772cf3ff
commit cb51ea981a
2 changed files with 66 additions and 3 deletions

View file

@ -0,0 +1,62 @@
#!/usr/bin/env python3
"""
performance-log-coalesce.py -- Coalesce GIMP performance log symbols, by
filling-in missing base addresses
Copyright (C) 2018 Ell
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Usage: performance-log-coalesce.py < infile > outfile
"""
from xml.etree import ElementTree
import sys
empty_element = ElementTree.Element ("")
# Read performance log from STDIN
log = ElementTree.fromstring (sys.stdin.buffer.read ())
address_map = log.find ("address-map")
if address_map:
addresses = []
# Create base addresses dictionary
base_addresses = {}
for address in address_map.iterfind ("address"):
symbol = address.find ("symbol").text
source = address.find ("source").text
base = address.find ("base").text
if symbol and source and not base:
key = (symbol, source)
value = int (address.get ("value"), 0)
base_addresses[key] = min (value, base_addresses.get (key, value))
addresses.append (address)
# Fill-in missing base addresses
for address in addresses:
symbol = address.find ("symbol").text
source = address.find ("source").text
address.find ("base").text = hex (base_addresses[(symbol, source)])
# Write performance log to STDOUT
sys.stdout.buffer.write (ElementTree.tostring (log))

View file

@ -32,5 +32,6 @@ file="$1"
< "$file" \
"$tools_dir/performance-log-expand.py" | \
"$tools_dir/performance-log-coalesce.py" | \
"$tools_dir/performance-log-deduce.py" | \
"$tools_dir/performance-log-viewer.py"