# elif fn.startswith("google-monolithic-single_path"):
# input_protobuff_monolithic_single = os.path.join(input_dir,fn)
#
#
# if input_protobuff_monolithic_multi == "" or input_protobuff_monolithic_multi == "" :
# print "Single or Multi Path protobuf not found"
# sys.exit(1)
input_protobuff_dynamic = ""
for fn in os.listdir(input_dir):
if os.path.splitext(fn)[1] == ".protobuf":
if fn.startswith("dynamic"):
input_protobuff_dynamic = os.path.join(input_dir, fn)
experiment_result_set_dynamic = cluster_simulation_protos_pb2.ExperimentResultSet(
)
dynamic_infile = open(input_protobuff_dynamic, "rb")
experiment_result_set_dynamic.ParseFromString(dynamic_infile.read())
print("Processing %d dynamic experiment envs." %
len(experiment_result_set_dynamic.experiment_env))
cpu_util = []
for env in experiment_result_set_dynamic.experiment_env:
for exp_result in env.experiment_result:
for measurement in exp_result.measurements:
cpu_util.append(measurement.cpuUtilization)
break
"composed-off-decision:always-power-off-decision-action:default"
]
input_protobuff_monolithic_single = ""
input_protobuff_monolithic_multi = ""
for fn in os.listdir(input_dir):
if os.path.splitext(fn)[1] == ".protobuf":
if fn.startswith("google-monolithic-multi_path"):
input_protobuff_monolithic_multi = os.path.join(input_dir, fn)
elif fn.startswith("google-monolithic-single_path"):
input_protobuff_monolithic_single = os.path.join(input_dir, fn)
if input_protobuff_monolithic_multi == "" or input_protobuff_monolithic_multi == "":
print "Single or Multi Path protobuf not found"
sys.exit(1)
experiment_result_set_single = cluster_simulation_protos_pb2.ExperimentResultSet(
)
experiment_result_set_multi = cluster_simulation_protos_pb2.ExperimentResultSet(
)
single_infile = open(input_protobuff_monolithic_single, "rb")
multi_infile = open(input_protobuff_monolithic_multi, "rb")
experiment_result_set_single.ParseFromString(single_infile.read())
experiment_result_set_multi.ParseFromString(multi_infile.read())
print("Processing %d single path experiment envs." %
len(experiment_result_set_single.experiment_env))
print("Processing %d multi path experiment envs." %
len(experiment_result_set_multi.experiment_env))
"google-omega-resfit-allornoth-single_path-vary_c-604800.protobuf"),
("Fine/Inc", "google-omega-resfit-inc-single_path-vary_c-604800.protobuf"),
("Coarse/Gang",
"google-omega-seqnum-allornoth-single_path-vary_c-604800.protobuf"),
("Course/Inc",
"google-omega-seqnum-inc-single_path-vary_c-604800.protobuf")
]
experiment_result_sets = []
for title_name_tuple in file_names:
title = title_name_tuple[0]
file_name = title_name_tuple[1]
full_name = file_dir + file_name
# Read in the ExperimentResultSet.
#experiment_result_sets.append((title, cluster_simulation_protos_pb2.ExperimentResultSet()))
res_set = cluster_simulation_protos_pb2.ExperimentResultSet()
experiment_result_sets.append([title, res_set])
#titles[experiment_result_sets[-1]] = title
f = open(full_name, "rb")
res_set.ParseFromString(f.read())
f.close()
# ---------------------------------------
# Set up some general graphing variables.
if paper_mode:
set_paper_rcs()
fig = plt.figure(figsize=(2, 1.33))
else:
fig = plt.figure()
prefilled_colors_web = {'A': 'b', 'B': 'r', 'C': 'c', "synth": 'y'}
