mirror of
https://github.com/klzgrad/naiveproxy.git
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153 lines
6.2 KiB
Python
Executable File
153 lines
6.2 KiB
Python
Executable File
import sys
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import os
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import timeit
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import math
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import argparse
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import fnmatch
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import json
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parser = argparse.ArgumentParser(description="Python protobuf benchmark")
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parser.add_argument("data_files", metavar="dataFile", nargs="+",
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help="testing data files.")
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parser.add_argument("--json", action="store_const", dest="json",
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const="yes", default="no",
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help="Whether to output json results")
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parser.add_argument("--behavior_prefix", dest="behavior_prefix",
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help="The output json format's behavior's name's prefix",
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default="")
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# BEGIN CPP GENERATED MESSAGE
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parser.add_argument("--cpp_generated", action="store_const",
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dest="cpp_generated", const="yes", default="no",
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help="Whether to link generated code library")
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# END CPP GENERATED MESSAGE
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args = parser.parse_args()
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# BEGIN CPP GENERATED MESSAGE
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# CPP generated code must be linked before importing the generated Python code
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# for the descriptor can be found in the pool
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if args.cpp_generated != "no":
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sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/.libs" )
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import libbenchmark_messages
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sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) + "/tmp" )
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# END CPP GENERATED MESSAGE
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import datasets.google_message1.proto2.benchmark_message1_proto2_pb2 as benchmark_message1_proto2_pb2
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import datasets.google_message1.proto3.benchmark_message1_proto3_pb2 as benchmark_message1_proto3_pb2
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import datasets.google_message2.benchmark_message2_pb2 as benchmark_message2_pb2
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import datasets.google_message3.benchmark_message3_pb2 as benchmark_message3_pb2
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import datasets.google_message4.benchmark_message4_pb2 as benchmark_message4_pb2
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import benchmarks_pb2 as benchmarks_pb2
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def run_one_test(filename):
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data = open(filename).read()
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benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
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benchmark_dataset.ParseFromString(data)
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benchmark_util = Benchmark(full_iteration=len(benchmark_dataset.payload),
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module="py_benchmark",
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setup_method="init")
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result={}
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result["filename"] = filename
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result["message_name"] = benchmark_dataset.message_name
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result["benchmarks"] = {}
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benchmark_util.set_test_method("parse_from_benchmark")
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result["benchmarks"][args.behavior_prefix + "_parse_from_benchmark"] = \
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benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
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benchmark_util.set_test_method("serialize_to_benchmark")
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result["benchmarks"][args.behavior_prefix + "_serialize_to_benchmark"] = \
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benchmark_util.run_benchmark(setup_method_args='"%s"' % (filename))
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return result
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def init(filename):
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global benchmark_dataset, message_class, message_list, counter
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message_list=[]
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counter = 0
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data = open(os.path.dirname(sys.argv[0]) + "/../" + filename).read()
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benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
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benchmark_dataset.ParseFromString(data)
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if benchmark_dataset.message_name == "benchmarks.proto3.GoogleMessage1":
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message_class = benchmark_message1_proto3_pb2.GoogleMessage1
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elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage1":
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message_class = benchmark_message1_proto2_pb2.GoogleMessage1
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elif benchmark_dataset.message_name == "benchmarks.proto2.GoogleMessage2":
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message_class = benchmark_message2_pb2.GoogleMessage2
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elif benchmark_dataset.message_name == "benchmarks.google_message3.GoogleMessage3":
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message_class = benchmark_message3_pb2.GoogleMessage3
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elif benchmark_dataset.message_name == "benchmarks.google_message4.GoogleMessage4":
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message_class = benchmark_message4_pb2.GoogleMessage4
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else:
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raise IOError("Message %s not found!" % (benchmark_dataset.message_name))
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for one_payload in benchmark_dataset.payload:
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temp = message_class()
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temp.ParseFromString(one_payload)
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message_list.append(temp)
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def parse_from_benchmark():
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global counter, message_class, benchmark_dataset
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m = message_class().ParseFromString(benchmark_dataset.payload[counter % len(benchmark_dataset.payload)])
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counter = counter + 1
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def serialize_to_benchmark():
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global counter, message_list, message_class
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s = message_list[counter % len(benchmark_dataset.payload)].SerializeToString()
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counter = counter + 1
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class Benchmark:
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def __init__(self, module=None, test_method=None,
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setup_method=None, full_iteration = 1):
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self.full_iteration = full_iteration
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self.module = module
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self.test_method = test_method
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self.setup_method = setup_method
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def set_test_method(self, test_method):
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self.test_method = test_method
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def full_setup_code(self, setup_method_args=''):
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setup_code = ""
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setup_code += "from %s import %s\n" % (self.module, self.test_method)
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setup_code += "from %s import %s\n" % (self.module, self.setup_method)
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setup_code += "%s(%s)\n" % (self.setup_method, setup_method_args)
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return setup_code
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def dry_run(self, test_method_args='', setup_method_args=''):
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return timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args),
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setup=self.full_setup_code(setup_method_args),
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number=self.full_iteration);
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def run_benchmark(self, test_method_args='', setup_method_args=''):
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reps = self.full_iteration;
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t = self.dry_run(test_method_args, setup_method_args);
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if t < 3 :
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reps = int(math.ceil(3 / t)) * self.full_iteration
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t = timeit.timeit(stmt="%s(%s)" % (self.test_method, test_method_args),
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setup=self.full_setup_code(setup_method_args),
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number=reps);
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return 1.0 * t / reps * (10 ** 9)
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if __name__ == "__main__":
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results = []
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for file in args.data_files:
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results.append(run_one_test(file))
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if args.json != "no":
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print json.dumps(results)
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else:
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for result in results:
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print "Message %s of dataset file %s" % \
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(result["message_name"], result["filename"])
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print "Average time for parse_from_benchmark: %.2f ns" % \
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(result["benchmarks"][ \
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args.behavior_prefix + "_parse_from_benchmark"])
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print "Average time for serialize_to_benchmark: %.2f ns" % \
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(result["benchmarks"][ \
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args.behavior_prefix + "_serialize_to_benchmark"])
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print ""
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