def one_bench_data(f):
assert os.path.exists(f)
#print mb
heap_size = hintgc_format.get_column(f, hintgc_format.heap_size)
heap_size = [int(x) for x in heap_size]
#print heap_size
# they're only _mostly_ equal - fragementation (FIXME)
#assert_all_equal(heap_size)
size_map = { 33398784.0 : "31.8 MB", 24899584.0 : "23.7 MB", 92938240.0 : "88.6 MB", 193601536.0 : "184.6 MB", 59383808.0 : "56.6 MB", 780804096.0 : "744.6 MB", 27119616.0 : "25.9 MB", 29339648.0 : "28 MB" }
heap_size = size_map[numpy.mean(heap_size)]
def gc_flag(row):
return int(row[5])
flags = hintgc_format.get_column_pf(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 0
flags = hintgc_format.get_column_gc(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 1
pfruntime = hintgc_format.get_column_pf(f, hintgc_format.runtime)
pfruntime = [int(x) for x in pfruntime]
gcruntime = hintgc_format.get_column_gc(f, hintgc_format.runtime)
gcruntime = [int(x) for x in gcruntime]
#print pfruntime
#print gcruntime
gc = numpy.mean(gcruntime)
pf = numpy.mean(pfruntime)
return [gc, pf, heap_size]
f = input_location
basename = sys.argv[2]
#print mb
heap_size = hintgc_format.get_column_pf(f, hintgc_format.heap_size)
heap_size = [int(x) for x in heap_size]
#interwoven data
def gc_flag(row):
return int(row[5])
flags = hintgc_format.get_column_pf(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 0
flags = hintgc_format.get_column_gc(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 1
scratch = hintgc_format.get_column_pf(f, hintgc_format.percent_pf)
scratch = [float(x) for x in scratch]
frac = scratch
def bucket_to_match(x):
if x < 0.5:
return 0
elif x < 3:
return 1
elif x < 7.5:
return 5
elif x < 17.5:
return 10;
#print heap_size
# they're only _mostly_ equal - fragementation (FIXME)
#assert_all_equal(heap_size)
size_map = { 33398784.0 : "31.8 MB", 24899584.0 : "23.7 MB", 92938240.0 : "88.6 MB", 193601536.0 : "184.6 MB", 59383808.0 : "56.6 MB", 780804096.0 : "744.6 MB", 27119616.0 : "25.9 MB", 29339648.0 : "28 MB" }
heap_size = size_map[numpy.mean(heap_size)]
def gc_flag(row):
return int(row[5])
flags = hintgc_format.get_column_pf(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 0
flags = hintgc_format.get_column_gc(f, gc_flag)
assert_all_equal(flags);
assert flags[0] == 1
pfruntime = hintgc_format.get_column_pf(f, hintgc_format.runtime)
pfruntime = [int(x) for x in pfruntime]
gcruntime = hintgc_format.get_column_gc(f, hintgc_format.runtime)
gcruntime = [int(x) for x in gcruntime]
#print pfruntime
#print gcruntime
gc = numpy.mean(gcruntime)
pf = numpy.mean(pfruntime)
speedup = "n/a"
if pf != 0:
speedup = gc/pf