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382 lines
13 KiB
382 lines
13 KiB
// Copyright 2018 The Abseil Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// https://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "absl/strings/string_view.h"
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#include <algorithm>
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#include <cstdint>
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#include <map>
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#include <random>
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#include <string>
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#include <unordered_set>
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#include <vector>
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#include "benchmark/benchmark.h"
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#include "absl/base/attributes.h"
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#include "absl/base/internal/raw_logging.h"
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#include "absl/base/macros.h"
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#include "absl/strings/str_cat.h"
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namespace {
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void BM_StringViewFromString(benchmark::State& state) {
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std::string s(state.range(0), 'x');
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std::string* ps = &s;
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struct SV {
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SV() = default;
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explicit SV(const std::string& s) : sv(s) {}
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absl::string_view sv;
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} sv;
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SV* psv = &sv;
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benchmark::DoNotOptimize(ps);
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benchmark::DoNotOptimize(psv);
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for (auto _ : state) {
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new (psv) SV(*ps);
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benchmark::DoNotOptimize(sv);
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}
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}
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BENCHMARK(BM_StringViewFromString)->Arg(12)->Arg(128);
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// Provide a forcibly out-of-line wrapper for operator== that can be used in
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// benchmarks to measure the impact of inlining.
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ABSL_ATTRIBUTE_NOINLINE
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bool NonInlinedEq(absl::string_view a, absl::string_view b) { return a == b; }
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// We use functions that cannot be inlined to perform the comparison loops so
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// that inlining of the operator== can't optimize away *everything*.
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ABSL_ATTRIBUTE_NOINLINE
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void DoEqualityComparisons(benchmark::State& state, absl::string_view a,
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absl::string_view b) {
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for (auto _ : state) {
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benchmark::DoNotOptimize(a == b);
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}
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}
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void BM_EqualIdentical(benchmark::State& state) {
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std::string x(state.range(0), 'a');
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DoEqualityComparisons(state, x, x);
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}
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BENCHMARK(BM_EqualIdentical)->DenseRange(0, 3)->Range(4, 1 << 10);
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void BM_EqualSame(benchmark::State& state) {
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std::string x(state.range(0), 'a');
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std::string y = x;
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DoEqualityComparisons(state, x, y);
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}
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BENCHMARK(BM_EqualSame)
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->DenseRange(0, 10)
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->Arg(20)
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->Arg(40)
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->Arg(70)
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->Arg(110)
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->Range(160, 4096);
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void BM_EqualDifferent(benchmark::State& state) {
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const int len = state.range(0);
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std::string x(len, 'a');
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std::string y = x;
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if (len > 0) {
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y[len - 1] = 'b';
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}
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DoEqualityComparisons(state, x, y);
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}
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BENCHMARK(BM_EqualDifferent)->DenseRange(0, 3)->Range(4, 1 << 10);
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// This benchmark is intended to check that important simplifications can be
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// made with absl::string_view comparisons against constant strings. The idea is
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// that if constant strings cause redundant components of the comparison, the
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// compiler should detect and eliminate them. Here we use 8 different strings,
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// each with the same size. Provided our comparison makes the implementation
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// inline-able by the compiler, it should fold all of these away into a single
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// size check once per loop iteration.
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ABSL_ATTRIBUTE_NOINLINE
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void DoConstantSizeInlinedEqualityComparisons(benchmark::State& state,
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absl::string_view a) {
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for (auto _ : state) {
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benchmark::DoNotOptimize(a == "aaa");
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benchmark::DoNotOptimize(a == "bbb");
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benchmark::DoNotOptimize(a == "ccc");
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benchmark::DoNotOptimize(a == "ddd");
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benchmark::DoNotOptimize(a == "eee");
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benchmark::DoNotOptimize(a == "fff");
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benchmark::DoNotOptimize(a == "ggg");
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benchmark::DoNotOptimize(a == "hhh");
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}
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}
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void BM_EqualConstantSizeInlined(benchmark::State& state) {
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std::string x(state.range(0), 'a');
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DoConstantSizeInlinedEqualityComparisons(state, x);
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}
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// We only need to check for size of 3, and <> 3 as this benchmark only has to
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// do with size differences.
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BENCHMARK(BM_EqualConstantSizeInlined)->DenseRange(2, 4);
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// This benchmark exists purely to give context to the above timings: this is
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// what they would look like if the compiler is completely unable to simplify
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// between two comparisons when they are comparing against constant strings.
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ABSL_ATTRIBUTE_NOINLINE
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void DoConstantSizeNonInlinedEqualityComparisons(benchmark::State& state,
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absl::string_view a) {
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for (auto _ : state) {
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// Force these out-of-line to compare with the above function.
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benchmark::DoNotOptimize(NonInlinedEq(a, "aaa"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "bbb"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "ccc"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "ddd"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "eee"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "fff"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "ggg"));
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benchmark::DoNotOptimize(NonInlinedEq(a, "hhh"));
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}
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}
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void BM_EqualConstantSizeNonInlined(benchmark::State& state) {
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std::string x(state.range(0), 'a');
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DoConstantSizeNonInlinedEqualityComparisons(state, x);
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}
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// We only need to check for size of 3, and <> 3 as this benchmark only has to
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// do with size differences.
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BENCHMARK(BM_EqualConstantSizeNonInlined)->DenseRange(2, 4);
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void BM_CompareSame(benchmark::State& state) {
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const int len = state.range(0);
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std::string x;
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for (int i = 0; i < len; i++) {
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x += 'a';
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}
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std::string y = x;
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absl::string_view a = x;
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absl::string_view b = y;
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for (auto _ : state) {
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benchmark::DoNotOptimize(a);
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benchmark::DoNotOptimize(b);
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benchmark::DoNotOptimize(a.compare(b));
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}
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}
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BENCHMARK(BM_CompareSame)->DenseRange(0, 3)->Range(4, 1 << 10);
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void BM_CompareFirstOneLess(benchmark::State& state) {
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const int len = state.range(0);
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std::string x(len, 'a');
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std::string y = x;
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y.back() = 'b';
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absl::string_view a = x;
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absl::string_view b = y;
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for (auto _ : state) {
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benchmark::DoNotOptimize(a);
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benchmark::DoNotOptimize(b);
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benchmark::DoNotOptimize(a.compare(b));
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}
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}
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BENCHMARK(BM_CompareFirstOneLess)->DenseRange(1, 3)->Range(4, 1 << 10);
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void BM_CompareSecondOneLess(benchmark::State& state) {
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const int len = state.range(0);
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std::string x(len, 'a');
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std::string y = x;
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x.back() = 'b';
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absl::string_view a = x;
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absl::string_view b = y;
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for (auto _ : state) {
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benchmark::DoNotOptimize(a);
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benchmark::DoNotOptimize(b);
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benchmark::DoNotOptimize(a.compare(b));
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}
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}
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BENCHMARK(BM_CompareSecondOneLess)->DenseRange(1, 3)->Range(4, 1 << 10);
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void BM_find_string_view_len_one(benchmark::State& state) {
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std::string haystack(state.range(0), '0');
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absl::string_view s(haystack);
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for (auto _ : state) {
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benchmark::DoNotOptimize(s.find("x")); // not present; length 1
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}
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}
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BENCHMARK(BM_find_string_view_len_one)->Range(1, 1 << 20);
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void BM_find_string_view_len_two(benchmark::State& state) {
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std::string haystack(state.range(0), '0');
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absl::string_view s(haystack);
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for (auto _ : state) {
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benchmark::DoNotOptimize(s.find("xx")); // not present; length 2
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}
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}
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BENCHMARK(BM_find_string_view_len_two)->Range(1, 1 << 20);
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void BM_find_one_char(benchmark::State& state) {
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std::string haystack(state.range(0), '0');
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absl::string_view s(haystack);
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for (auto _ : state) {
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benchmark::DoNotOptimize(s.find('x')); // not present
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}
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}
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BENCHMARK(BM_find_one_char)->Range(1, 1 << 20);
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void BM_rfind_one_char(benchmark::State& state) {
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std::string haystack(state.range(0), '0');
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absl::string_view s(haystack);
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for (auto _ : state) {
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benchmark::DoNotOptimize(s.rfind('x')); // not present
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}
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}
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BENCHMARK(BM_rfind_one_char)->Range(1, 1 << 20);
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void BM_worst_case_find_first_of(benchmark::State& state, int haystack_len) {
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const int needle_len = state.range(0);
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std::string needle;
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for (int i = 0; i < needle_len; ++i) {
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needle += 'a' + i;
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}
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std::string haystack(haystack_len, '0'); // 1000 zeros.
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absl::string_view s(haystack);
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for (auto _ : state) {
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benchmark::DoNotOptimize(s.find_first_of(needle));
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}
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}
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void BM_find_first_of_short(benchmark::State& state) {
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BM_worst_case_find_first_of(state, 10);
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}
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void BM_find_first_of_medium(benchmark::State& state) {
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BM_worst_case_find_first_of(state, 100);
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}
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void BM_find_first_of_long(benchmark::State& state) {
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BM_worst_case_find_first_of(state, 1000);
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}
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BENCHMARK(BM_find_first_of_short)->DenseRange(0, 4)->Arg(8)->Arg(16)->Arg(32);
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BENCHMARK(BM_find_first_of_medium)->DenseRange(0, 4)->Arg(8)->Arg(16)->Arg(32);
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BENCHMARK(BM_find_first_of_long)->DenseRange(0, 4)->Arg(8)->Arg(16)->Arg(32);
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struct EasyMap : public std::map<absl::string_view, uint64_t> {
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explicit EasyMap(size_t) {}
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};
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// This templated benchmark helper function is intended to stress operator== or
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// operator< in a realistic test. It surely isn't entirely realistic, but it's
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// a start. The test creates a map of type Map, a template arg, and populates
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// it with table_size key/value pairs. Each key has WordsPerKey words. After
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// creating the map, a number of lookups are done in random order. Some keys
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// are used much more frequently than others in this phase of the test.
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template <typename Map, int WordsPerKey>
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void StringViewMapBenchmark(benchmark::State& state) {
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const int table_size = state.range(0);
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const double kFractionOfKeysThatAreHot = 0.2;
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const int kNumLookupsOfHotKeys = 20;
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const int kNumLookupsOfColdKeys = 1;
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const char* words[] = {"the", "quick", "brown", "fox", "jumped",
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"over", "the", "lazy", "dog", "and",
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"found", "a", "large", "mushroom", "and",
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"a", "couple", "crickets", "eating", "pie"};
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// Create some keys that consist of words in random order.
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std::random_device r;
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std::seed_seq seed({r(), r(), r(), r(), r(), r(), r(), r()});
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std::mt19937 rng(seed);
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std::vector<std::string> keys(table_size);
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std::vector<int> all_indices;
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const int kBlockSize = 1 << 12;
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std::unordered_set<std::string> t(kBlockSize);
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std::uniform_int_distribution<int> uniform(0, ABSL_ARRAYSIZE(words) - 1);
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for (int i = 0; i < table_size; i++) {
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all_indices.push_back(i);
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do {
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keys[i].clear();
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for (int j = 0; j < WordsPerKey; j++) {
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absl::StrAppend(&keys[i], j > 0 ? " " : "", words[uniform(rng)]);
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}
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} while (!t.insert(keys[i]).second);
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}
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// Create a list of strings to lookup: a permutation of the array of
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// keys we just created, with repeats. "Hot" keys get repeated more.
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std::shuffle(all_indices.begin(), all_indices.end(), rng);
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const int num_hot = table_size * kFractionOfKeysThatAreHot;
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const int num_cold = table_size - num_hot;
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std::vector<int> hot_indices(all_indices.begin(),
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all_indices.begin() + num_hot);
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std::vector<int> indices;
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for (int i = 0; i < kNumLookupsOfColdKeys; i++) {
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indices.insert(indices.end(), all_indices.begin(), all_indices.end());
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}
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for (int i = 0; i < kNumLookupsOfHotKeys - kNumLookupsOfColdKeys; i++) {
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indices.insert(indices.end(), hot_indices.begin(), hot_indices.end());
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}
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std::shuffle(indices.begin(), indices.end(), rng);
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ABSL_RAW_CHECK(
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num_cold * kNumLookupsOfColdKeys + num_hot * kNumLookupsOfHotKeys ==
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indices.size(),
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"");
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// After constructing the array we probe it with absl::string_views built from
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// test_strings. This means operator== won't see equal pointers, so
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// it'll have to check for equal lengths and equal characters.
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std::vector<std::string> test_strings(indices.size());
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for (int i = 0; i < indices.size(); i++) {
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test_strings[i] = keys[indices[i]];
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}
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// Run the benchmark. It includes map construction but is mostly
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// map lookups.
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for (auto _ : state) {
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Map h(table_size);
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for (int i = 0; i < table_size; i++) {
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h[keys[i]] = i * 2;
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}
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ABSL_RAW_CHECK(h.size() == table_size, "");
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uint64_t sum = 0;
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for (int i = 0; i < indices.size(); i++) {
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sum += h[test_strings[i]];
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}
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benchmark::DoNotOptimize(sum);
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}
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}
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void BM_StdMap_4(benchmark::State& state) {
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StringViewMapBenchmark<EasyMap, 4>(state);
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}
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BENCHMARK(BM_StdMap_4)->Range(1 << 10, 1 << 16);
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void BM_StdMap_8(benchmark::State& state) {
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StringViewMapBenchmark<EasyMap, 8>(state);
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}
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BENCHMARK(BM_StdMap_8)->Range(1 << 10, 1 << 16);
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void BM_CopyToStringNative(benchmark::State& state) {
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std::string src(state.range(0), 'x');
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absl::string_view sv(src);
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std::string dst;
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for (auto _ : state) {
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dst.assign(sv.begin(), sv.end());
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}
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}
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BENCHMARK(BM_CopyToStringNative)->Range(1 << 3, 1 << 12);
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void BM_AppendToStringNative(benchmark::State& state) {
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std::string src(state.range(0), 'x');
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absl::string_view sv(src);
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std::string dst;
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for (auto _ : state) {
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dst.clear();
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dst.insert(dst.end(), sv.begin(), sv.end());
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}
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}
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BENCHMARK(BM_AppendToStringNative)->Range(1 << 3, 1 << 12);
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} // namespace
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