def data_by_numtyped(fname, pred=None):
# Group data into a list of lists.
# Index = Number of typed modules
data = [[] for _ in range(1+util.count_modules(fname))]
with open(fname, "r") as f:
next(f)
for line in f:
cols = line.strip().split()
title, vals = cols[0], cols[1:]
if pred is None or pred(title):
data[num_typed(title)].append([int(x) for x in vals])
return data
def main(fname):
# Generate all edge combinations,
# make all the graphs
num_modules = util.count_modules(fname)
edges = util.infer_edges(fname)
if edges is None:
print("Error: could not find graph file for '%s'" % fname)
return
## All combos that are reasonably small
for group_size in range(1, min(4, len(edges))):
for edge_list in itertools.combinations(edges, group_size):
make_plot(fname, edge_list)
return
[i + 1 - 0.25, data[i]["ci"][0]], 0.5, data[i]["ci"][1] - data[i]["ci"][0], facecolor="royalblue"
)
ax1.add_patch(ci_rect)
plt.plot(i + 1, [data[i]["mean"]], color="w", marker="*", markeredgecolor="k")
## Save graph
plt.xticks(range(1, 1 + len(data)), range(0, len(data)))
# plt.yticks([5000,10000,15000]) #funkytown
plt.yticks([100 * i for i in range(4, 10)])
ax1.yaxis.grid(True, linestyle="-", which="major", color="lightgrey", alpha=0.5)
ax1.set_axisbelow(True)
ax1.set_title(fname.rsplit("/", 1)[-1].rsplit(".")[0])
ax1.set_xlabel("Num. Typed Modules")
ax1.set_ylabel("Runtime (ms)")
new_name = util.gen_name(fname, "sampling-%s" % num_samples, "png")
plt.savefig(new_name)
plt.clf()
print("Saved results to '%s'" % new_name)
return
if __name__ == "__main__":
if len(sys.argv) == 2 and sys.argv[1].endswith(".tab"):
fname = sys.argv[1]
num_mods = util.count_modules(fname)
if num_mods >= MIN_MODULES:
main(fname, num_mods)
else:
print("Error: too few modules to sample. Need at least %s" % MIN_MODULES)
else:
print("Usage: sampling.py FILE.tab")
