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# vim: set fileencoding=utf8 :
import sys, re, os
from itertools import chain
import squarify
from bokeh.plotting import figure, show, output_file, ColumnDataSource
from bokeh.models import HoverTool, LabelSet
from bokeh.models.mappers import CategoricalColorMapper
from bokeh.palettes import Category10
from bokeh.layouts import column
class Objectfile:
def __init__ (self, section, offset, size, comment):
self.section = section.strip ()
self.offset = offset
self.size = size
self.path = (None, None)
if comment:
self.path = re.match (r'^(.+?)(?:\(([^\)]+)\))?$', comment).groups ()
self.children = []
def __repr__ (self):
return '<Objectfile {} {:x} {:x} {} {}>'.format (self.section, self.offset, self.size, self.path, repr (self.children))
def parseSections (fd):
"""
Quick&Dirty parsing for GNU ld’s linker map output, needs LANG=C, because
some messages are localized.
"""
sections = []
# skip until memory map is found
found = False
while True:
l = sys.stdin.readline ()
if not l:
break
if l.strip () == 'Memory Configuration':
found = True
break
if not found:
return None
# long section names result in a linebreak afterwards
sectionre = re.compile ('(?P<section>.+?|.{14,}\n)[ ]+0x(?P<offset>[0-9a-f]+)[ ]+0x(?P<size>[0-9a-f]+)(?:[ ]+(?P<comment>.+))?\n+', re.I)
subsectionre = re.compile ('[ ]{16}0x(?P<offset>[0-9a-f]+)[ ]+(?P<function>.+)\n+', re.I)
s = sys.stdin.read ()
pos = 0
while True:
m = sectionre.match (s, pos)
if not m:
# skip that line
try:
nextpos = s.index ('\n', pos)+1
pos = nextpos
continue
except ValueError:
break
pos = m.end ()
section = m.group ('section')
v = m.group ('offset')
offset = int (v, 16) if v is not None else None
v = m.group ('size')
size = int (v, 16) if v is not None else None
comment = m.group ('comment')
if section != '*default*' and size > 0:
of = Objectfile (section, offset, size, comment)
if section.startswith (' '):
sections[-1].children.append (of)
while True:
m = subsectionre.match (s, pos)
if not m:
break
pos = m.end ()
offset, function = m.groups ()
offset = int (offset, 16)
if sections and sections[-1].children:
sections[-1].children[-1].children.append ((offset, function))
else:
sections.append (of)
return sections
def main ():
sections = parseSections (sys.stdin)
if sections is None:
print ('start of memory config not found, did you invoke the compiler/linker with LANG=C?')
return
sectionWhitelist = {'.text', '.data', '.bss'}
plots = []
whitelistedSections = list (filter (lambda x: x.section in sectionWhitelist, sections))
allObjects = list (chain (*map (lambda x: x.children, whitelistedSections)))
allFiles = list (set (map (lambda x: os.path.basename (x.path[0]) if x.path[0] else None, allObjects)))
for s in whitelistedSections:
objects = s.children
objects.sort (reverse=True, key=lambda x: x.size)
values = list (map (lambda x: x.size, objects))
totalsize = sum (values)
x = 0
y = 0
width = 1000
height = 1000
values = squarify.normalize_sizes (values, width, height)
rects = squarify.squarify(values, x, y, width, height)
padded_rects = squarify.padded_squarify(values, x, y, width, height)
# plot with bokeh
output_file('linkermap.html', title='Linker map')
top = list (map (lambda x: x['y'], padded_rects))
bottom = list (map (lambda x: x['y']+x['dy'], padded_rects))
left = list (map (lambda x: x['x'], padded_rects))
right = list (map (lambda x: x['x']+x['dx'], padded_rects))
files = list (map (lambda x: os.path.basename (x.path[0]) if x.path[0] else None, objects))
size = list (map (lambda x: x.size, objects))
children = list (map (lambda x: ','.join (map (lambda x: x[1], x.children)) if x.children else x.section, objects))
source = ColumnDataSource(data=dict(
top=top,
bottom=bottom,
left=left,
right=right,
file=files,
size=size,
children=children,
))
hover = HoverTool(tooltips=[
("size", "@size"),
("file", "@file"),
])
p = figure(title='Linker map for section {} ({} bytes)'.format (s.section, totalsize),
plot_width=width, plot_height=height,
tools=[hover,'pan','wheel_zoom','box_zoom','reset'],
x_range=(0, width), y_range=(0, height))
p.xaxis.visible = False
p.xgrid.visible = False
p.yaxis.visible = False
p.ygrid.visible = False
palette = Category10[10]
mapper = CategoricalColorMapper (palette=palette, factors=allFiles)
p.quad (top='top', bottom='bottom', left='left', right='right', source=source, color={'field': 'file', 'transform': mapper}, legend='file')
labels = LabelSet(x='left', y='top', text='children', level='glyph',
x_offset=5, y_offset=5, source=source, render_mode='canvas')
p.add_layout (labels)
labels = LabelSet(x='left', y='top', text='size', level='glyph',
x_offset=5, y_offset=20, source=source, render_mode='canvas')
p.add_layout (labels)
# set up legend, must be done after plotting
p.legend.location = "top_left"
p.legend.orientation = "horizontal"
plots.append (p)
show (column (*plots, responsive=True))
if __name__ == '__main__':
main ()
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