Author: David Schneider <david.schnei...@picle.org>
Branch: extradoc
Changeset: r4757:d363d21d1122
Date: 2012-09-06 16:15 +0200
http://bitbucket.org/pypy/extradoc/changeset/d363d21d1122/
Log: highlight minima and maxima for all used tables
diff --git a/talk/vmil2012/tool/build_tables.py
b/talk/vmil2012/tool/build_tables.py
--- a/talk/vmil2012/tool/build_tables.py
+++ b/talk/vmil2012/tool/build_tables.py
@@ -74,21 +74,23 @@
(num_99_dot_9, num_99_dot_9 / total * 100),
]
table.append(res)
- # mark min
- for column, (_, index) in enumerate(mins):
- table[index][column + 2] = "\cellcolor{darkgray}%s" % \
- table[index][column + 2]
-
- # marks max
- # mark min
- for column, (_, index) in enumerate(maxs):
- table[index][column + 2] = "\cellcolor{lightgray}%s" % \
- table[index][column + 2]
-
+ mark_min_max(table, mins, maxs, 2)
output = render_table(template, head, sorted(table))
write_table(output, texfile)
+def mark_min_max(table, mins, maxs, offs):
+ # mark minima
+ for column, (_, index) in enumerate(mins):
+ table[index][column + offs] = "\cellcolor{darkgray}%s" % \
+ table[index][column + offs]
+
+ # mark maxima
+ for column, (_, index) in enumerate(maxs):
+ table[index][column + offs] = "\cellcolor{lightgray}%s" % \
+ table[index][column + offs]
+
+
def we_are_n_percent(info, n):
failure_counts = info['results'].values()
print failure_counts
@@ -135,17 +137,28 @@
lines = getlines(csvfiles[0])
table = []
head = ['Benchmark', 'Compressed', 'Naive', 'xz compressed']
-
- for bench in lines:
+ mins = [(99999, 0)] * 3
+ maxs = [(0, 0)] * 3
+ for i, bench in enumerate(lines):
total = float(bench['total resume data size'])
naive = float(bench['naive resume data size'])
xz = float(bench['compressed resume data size'])
+ mins[0] = min(mins[0], (total, i))
+ maxs[0] = max(maxs[0], (total, i))
+
+ mins[1] = min(mins[1], (naive, i))
+ maxs[1] = max(maxs[1], (naive, i))
+
+ mins[2] = min(mins[2], (xz, i))
+ maxs[2] = max(maxs[2], (xz, i))
res = [bench['bench'].replace('_', '\\_'),
"%.2f {\scriptsize KiB}" % (total,), # (100*total/naive)),
"%.2f {\scriptsize KiB}" % (naive), # , 100*naive/total),
"%.2f {\scriptsize KiB}" % (xz), # , 100*xz/total),
]
table.append(res)
+ # mark min
+ mark_min_max(table, mins, maxs, 1)
output = render_table(template, head, sorted(table))
write_table(output, texfile)
@@ -214,15 +227,39 @@
'Opt. rate',
'Guard opt. rate',
]
+ mins = [(99999, 0)] * (len(head) - 1)
+ maxs = [(0, 0)] * (len(head) - 1)
table = []
# collect data
keys = 'numeric guard set get rest new'.split()
- for bench in lines:
+ for i, bench in enumerate(lines):
ops_bo = sum(int(bench['%s before' % s]) for s in keys)
ops_ao = sum(int(bench['%s after' % s]) for s in keys)
guards_bo = int(bench['guard before'])
+ perc_guards_bo = guards_bo / ops_bo * 100
guards_ao = int(bench['guard after'])
+ perc_guards_ao = guards_ao / ops_ao * 100
+ opt_rate = (1 - ops_ao / ops_bo) * 100
+ guard_opt_rate = (1 - guards_ao / guards_bo) * 100
+
+ mins[0] = min(mins[0], (ops_bo, i))
+ maxs[0] = max(maxs[0], (ops_bo, i))
+
+ mins[1] = min(mins[1], (perc_guards_bo, i))
+ maxs[1] = max(maxs[1], (perc_guards_bo, i))
+
+ mins[2] = min(mins[2], (ops_ao, i))
+ maxs[2] = max(maxs[2], (ops_ao, i))
+
+ mins[3] = min(mins[3], (perc_guards_ao, i))
+ maxs[3] = max(maxs[3], (perc_guards_ao, i))
+
+ mins[4] = min(mins[4], (opt_rate, i))
+ maxs[4] = max(maxs[4], (opt_rate, i))
+
+ mins[5] = min(mins[5], (guard_opt_rate, i))
+ maxs[5] = max(maxs[5], (guard_opt_rate, i))
# the guard count collected from jit-summary counts more guards than
# actually emitted, so the number collected from parsing the logfiles
# will probably be lower
@@ -230,13 +267,14 @@
res = [
bench['bench'].replace('_', '\\_'),
ops_bo,
- "%.1f\\%%" % (guards_bo / ops_bo * 100,),
+ "%.1f\\%%" % perc_guards_bo,
ops_ao,
- "%.1f\\%%" % (guards_ao / ops_ao * 100,),
- "%.1f\\%%" % ((1 - ops_ao / ops_bo) * 100,),
- "%.1f\\%%" % ((1 - guards_ao / guards_bo) * 100,),
+ "%.1f\\%%" % perc_guards_ao,
+ "%.1f\\%%" % (opt_rate,),
+ "%.1f\\%%" % (guard_opt_rate,),
]
table.append(res)
+ mark_min_max(table, mins, maxs, 1)
output = render_table(template, head, sorted(table))
write_table(output, texfile)
@@ -254,15 +292,25 @@
r'Backend map',
#r'Relation',
]
+ mins = [(99999, 0)] * (len(head) - 1)
+ maxs = [(0, 0)] * (len(head) - 1)
table = []
# collect data
- for bench in lines:
+ for i, bench in enumerate(lines):
name = bench['bench']
bench['bench'] = bench['bench'].replace('_', '\\_')
gmsize = float(bench['guard map size'])
asmsize = float(bench['asm size'])
rdsize = float(resumedata[name]['total resume data size'])
+ mins[0] = min(mins[0], (asmsize, i))
+ maxs[0] = max(maxs[0], (asmsize, i))
+
+ mins[1] = min(mins[1], (rdsize, i))
+ maxs[1] = max(maxs[1], (rdsize, i))
+
+ mins[2] = min(mins[2], (gmsize, i))
+ maxs[2] = max(maxs[2], (gmsize, i))
table.append([
r"%s" % bench['bench'],
r"%.1f {\scriptsize KiB}" % (asmsize,),
@@ -270,6 +318,7 @@
r"%.1f {\scriptsize KiB}" % (gmsize,),
#rel,
])
+ mark_min_max(table, mins, maxs, 1)
output = render_table(template, head, sorted(table))
write_table(output, texfile)
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