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First commit of benchmarks for Catch runtime perf.
So far its very much a WIP with some problems that are known already and not very representative tests.
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@ -7,6 +7,7 @@ set_property(GLOBAL PROPERTY USE_FOLDERS ON)
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# define some folders
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set(CATCH_DIR ${CMAKE_CURRENT_SOURCE_DIR})
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set(SELF_TEST_DIR ${CATCH_DIR}/projects/SelfTest)
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set(BENCHMARK_DIR ${CATCH_DIR}/projects/Benchmark)
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set(HEADER_DIR ${CATCH_DIR}/include)
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if(USE_CPP11)
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@ -161,13 +162,20 @@ set(HEADERS
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${HEADER_DIR}/reporters/catch_reporter_xml.hpp
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)
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set(BENCH_SOURCES
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${BENCHMARK_DIR}/BenchMain.cpp
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${BENCHMARK_DIR}/StringificationBench.cpp
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)
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# Provide some groupings for IDEs
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SOURCE_GROUP("Tests" FILES ${TEST_SOURCES})
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SOURCE_GROUP("Surrogates" FILES ${IMPL_SOURCES})
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SOURCE_GROUP("Benchmarks" FILES ${BENCH_SOURCES})
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# configure the executable
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include_directories(${HEADER_DIR})
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add_executable(SelfTest ${TEST_SOURCES} ${IMPL_SOURCES} ${HEADERS})
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add_executable(Benchmark ${BENCH_SOURCES} ${HEADERS})
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# configure unit tests via CTest
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enable_testing()
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2
projects/Benchmark/BenchMain.cpp
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2
projects/Benchmark/BenchMain.cpp
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@ -0,0 +1,2 @@
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#define CATCH_CONFIG_MAIN
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#include "catch.hpp"
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39
projects/Benchmark/StringificationBench.cpp
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projects/Benchmark/StringificationBench.cpp
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@ -0,0 +1,39 @@
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#include "catch.hpp"
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#include <vector>
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///////////////////////////////////////////////////////////////////////////////
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TEST_CASE("Successful tests -- REQUIRE", "[Success]") {
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const size_t sz = 1 * 1024 * 1024;
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std::vector<size_t> vec; vec.reserve(sz);
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for (size_t i = 0; i < sz; ++i){
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vec.push_back(i);
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REQUIRE(vec.back() == i);
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}
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}
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///////////////////////////////////////////////////////////////////////////////
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TEST_CASE("Successful tests -- CHECK", "[Success]") {
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const size_t sz = 1 * 1024 * 1024;
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std::vector<size_t> vec; vec.reserve(sz);
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for (size_t i = 0; i < sz; ++i){
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vec.push_back(i);
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CHECK(vec.back() == i);
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}
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}
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///////////////////////////////////////////////////////////////////////////////
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TEST_CASE("Unsuccessful tests -- CHECK", "[Failure]") {
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const size_t sz = 128 * 1024;
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std::vector<size_t> vec; vec.reserve(sz);
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for (size_t i = 0; i < sz; ++i){
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vec.push_back(i);
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CHECK(vec.size() == i);
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}
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}
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4
projects/Benchmark/readme.txt
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4
projects/Benchmark/readme.txt
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@ -0,0 +1,4 @@
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This is very much a work in progress.
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The past results are standardized to a developer's machine,
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the benchmarking script is basic and there are only 3 benchmarks,
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but this should get better in time. For now, at least there is something to go by.
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@ -0,0 +1,3 @@
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Successful tests -- CHECK: median: 3.38116 (s), stddev: 0.11567366292001534 (s)
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Successful tests -- REQUIRE: median: 3.479955 (s), stddev: 0.16295972890734556 (s)
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Unsuccessful tests -- CHECK: median: 1.966895 (s), stddev: 0.06323488524716572 (s)
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scripts/runner.py
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56
scripts/runner.py
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@ -0,0 +1,56 @@
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#!/usr/bin/env python3
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import subprocess, os, sys
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import xml.etree.ElementTree as ET
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from collections import defaultdict
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from statistics import median, stdev
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from datetime import datetime
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def get_commit_hash():
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res = subprocess.run('git rev-parse HEAD'.split(), check=True, stdout=subprocess.PIPE, universal_newlines=True)
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return res.stdout.strip()
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if len(sys.argv) < 2:
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print('Usage: {} benchmark-binary'.format(sys.argv[0]))
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exit(1)
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num_runs = 10
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data = defaultdict(list)
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def parse_file(file):
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def recursive_search(node):
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if node.tag == 'TestCase':
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results = node.find('OverallResult')
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time = results.get('durationInSeconds')
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data[node.get('name')].append(float(time))
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elif node.tag in ('Group', 'Catch'):
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for child in node:
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recursive_search(child)
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tree = ET.parse(file)
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recursive_search(tree.getroot())
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def run_benchmarks(binary):
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call = [binary] + '-d yes -r xml -o'.split()
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for i in range(num_runs):
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file = 'temp{}.xml'.format(i)
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print('Run number {}'.format(i))
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subprocess.run(call + [file])
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parse_file(file)
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# Remove file right after parsing, because benchmark output can be big
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os.remove(file)
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# Run benchmarks
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run_benchmarks(sys.argv[1])
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result_file = '{:%Y-%m-%dT%H-%M-%S}-{}.result'.format(datetime.now(), get_commit_hash())
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print('Writing results to {}'.format(result_file))
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with open(result_file, 'w') as file:
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for k in sorted(data):
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file.write('{}: median: {} (s), stddev: {} (s)\n'.format(k, median(data[k]), stdev(data[k])))
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