def profile_group(fname, gname, *group):
# Get information about the modules `group` with respect to the other files.
# TODO
group = list(group)
d = util.dict_of_file(gname)
print("Profiling group '%s'" % group)
print("Key:")
with open(gname, "r") as f:
next(f)
for line in f:
print(" " + line.strip())
tr_list = [(title, int(statistics.mean(row))) for (title, row) in rows_where_group_is_boundary(fname, group, d)]
tr_list.sort(key=lambda x: x[1])
for title, val in tr_list:
print("Config '%s' has avg. runtime %d" % (title, val))
## Plot bar graph
wd = 200
num_bars = len(tr_list)
ind = [i * wd for i in range(0, num_bars)]
xlabels = [x[0] for x in tr_list]
xvals = [x[1] for x in tr_list]
plt.axis([0, wd * (num_bars - 1), 0, max(xvals)])
fig, ax = plt.subplots()
ax.bar(ind, xvals, width=100)
ax.set_xticks(ind)
ax.set_xticklabels(xlabels)
fig.set_size_inches(25, 10)
plt.xlabel("Config. (%s)" % (sorted([(key, int(val[0])) for (key, val) in d.items()], key=lambda x: x[1])))
plt.ylabel("Avg. Runtime (ms)")
plt.title("%s, where group %s is a boundary" % (fname.rsplit("/", 1)[-1], group))
new_name = util.gen_name(fname, "+".join((x.rsplit(".", 1)[0] for x in group)), "png")
plt.savefig(new_name)
plt.clf()
print("Saved figure as '%s'" % new_name)
return
def count_stable_groups(fname, gname):
""" Search the space of all configurations for "significant groups"
- For all groups of (n/2) modules, where n is the number of modules
- Collect the runtimes of all configurations where the group is typed
and part of a boundary (determined by the .graph file)
- If these runtimes are pretty stable, print the group & runtimes
"""
d = util.dict_of_file(gname)
num_modules = len(d)
## init counters
num_groups, num_stable, num_unstable = 0, 0, 0
stable_groups = []
for group in itertools.combinations(d.keys(), int(num_modules / 2)):
group = list(group)
# print("Checking group '%s'" % group)
num_groups += 1
runtimes = []
titles = []
for title, row in rows_where_group_is_boundary(fname, group, d):
runtimes.append(statistics.mean(row))
titles.append(title)
if pretty_stable(runtimes, group):
num_stable += 1
stable_groups.append((group, [(title, int(x)) for (title, x) in zip(titles, runtimes)]))
else:
num_unstable += 1
print("Finished checking %d groups. %d stable, %d unstable." % (num_groups, num_stable, num_unstable))
print("Stable groups are:\n- %s" % ("\n- ".join((str(x) for x in stable_groups))))
return
