dedf08166a
Added 863 files from NVIDIA/cccl sparse checkout: - c2h/ (27 files): Catch2 test helpers — generators, validators, runner - nvbench_helper/ (10 files): Benchmark harness utilities - cmake/ (29 files): CMake presets and build helpers - cudax/ (794 files): Experimental CUDA extensions - AGENTS.md: NVIDIA's official AI agent instructions for CCCL - CMakePresets.json: Standardized build configurations - cccl-version.json: Version tracking Also added CCCL_ASSET_MAP.md mapping all 4295 CCCL files to competition value and PRD items. cccl_upstream now covers 100% of competition-critical assets: - 27 tuning headers (SM80/90/100 benchmark data) - 32 dispatch headers (algorithm implementations) - 60 Thrust examples (correctness verification) - 217 CUB Catch2 tests (regression matrix) - 153 CUB benchmarks (parameter space search) - 18 CUB examples (API verification) - 27 test helpers + benchmark harness - 794 cudax experimental extensions
102 lines
3.5 KiB
Plaintext
102 lines
3.5 KiB
Plaintext
//===----------------------------------------------------------------------===//
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//
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// Part of CUDA Experimental in CUDA C++ Core Libraries,
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// under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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// SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES.
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//
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//===----------------------------------------------------------------------===//
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#include <cuda/std/functional>
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#include <cuda/experimental/__utility/unstable_unique.cuh>
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#include <algorithm>
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#include <iterator>
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#include <list>
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#include <vector>
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#include <c2h/catch2_test_helper.h>
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namespace cudax = cuda::experimental;
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TEST_CASE("unstable_unique empty range", "[utility]")
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{
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std::vector<int> v;
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(v.end() == new_end);
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}
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TEST_CASE("unstable_unique no duplicates", "[utility]")
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{
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std::vector<int> v = {1, 2, 3, 4, 5};
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(v.end() == new_end);
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REQUIRE(std::vector<int>({1, 2, 3, 4, 5}) == v);
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}
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TEST_CASE("unstable_unique leading duplicates", "[utility]")
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{
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std::vector<int> v = {1, 1, 2, 3, 4, 5};
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(v.begin() + 5 == new_end);
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REQUIRE(std::vector<int>({1, 5, 2, 3, 4, 5}) == v);
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}
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TEST_CASE("unstable_unique interleaved duplicates", "[utility]")
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{
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std::vector<int> v = {1, 1, 2, 2, 3, 3, 4, 4, 5, 5};
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(v.begin() + 5 == new_end);
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REQUIRE(std::vector<int>({1, 5, 2, 4, 3, 3, 4, 4, 5, 5}) == v);
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}
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TEST_CASE("unstable_unique all same", "[utility]")
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{
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std::vector<int> v = {1, 1, 1, 1, 1};
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(1 + v.begin() == new_end);
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REQUIRE(std::vector<int>({1, 1, 1, 1, 1}) == v);
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}
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TEST_CASE("unstable_unique trailing unique", "[utility]")
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{
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std::vector<int> v = {1, 1, 1, 1, 1, 2};
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auto new_end = cudax::unstable_unique(v.begin(), v.end());
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REQUIRE(v.begin() + 2 == new_end);
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REQUIRE(std::vector<int>({1, 2, 1, 1, 1, 2}) == v);
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}
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TEST_CASE("unstable_unique with custom predicate", "[utility]")
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{
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std::vector<int> v = {1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 4, 5};
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auto new_end = cudax::unstable_unique(v.begin(), v.end(), cuda::std::equal_to<int>{});
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REQUIRE(v.begin() + 5 == new_end);
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REQUIRE(std::vector<int>{1, 5, 4, 3, 2, 1, 1, 1, 1, 2, 2, 2, 3, 4, 5} == v);
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}
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TEST_CASE("unstable_unique on bidirectional iterators (std::list)", "[utility]")
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{
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// std::list has bidirectional (not random-access) iterators -- exercises the
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// !=-based loop termination path.
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std::list<int> l = {1, 1, 2, 2, 3, 3, 4, 4, 5, 5};
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auto new_end = cudax::unstable_unique(l.begin(), l.end());
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REQUIRE(std::distance(l.begin(), new_end) == 5);
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std::vector<int> deduped(l.begin(), new_end);
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std::sort(deduped.begin(), deduped.end());
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REQUIRE(std::vector<int>({1, 2, 3, 4, 5}) == deduped);
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}
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TEST_CASE("unstable_unique on bidirectional iterators with custom predicate", "[utility]")
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{
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std::list<int> l = {1, 1, 1, 1, 1, 2, 2, 3};
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auto new_end = cudax::unstable_unique(l.begin(), l.end(), cuda::std::equal_to<int>{});
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REQUIRE(std::distance(l.begin(), new_end) == 3);
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std::vector<int> deduped(l.begin(), new_end);
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std::sort(deduped.begin(), deduped.end());
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REQUIRE(std::vector<int>({1, 2, 3}) == deduped);
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}
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