mirror of
https://github.com/catchorg/Catch2.git
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0a6a2ce887
This solves warning about the `uniform_fp_test_params` helper being unused on M1 mac (or any other platform using GCC and not using SSE2). Closes #2845
610 lines
25 KiB
C++
610 lines
25 KiB
C++
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// Copyright Catch2 Authors
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// Distributed under the Boost Software License, Version 1.0.
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// (See accompanying file LICENSE.txt or copy at
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// https://www.boost.org/LICENSE_1_0.txt)
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// SPDX-License-Identifier: BSL-1.0
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#include <catch2/catch_test_macros.hpp>
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#include <catch2/catch_template_test_macros.hpp>
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#include <catch2/internal/catch_floating_point_helpers.hpp>
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#include <catch2/internal/catch_random_integer_helpers.hpp>
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#include <catch2/internal/catch_random_number_generator.hpp>
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#include <catch2/internal/catch_random_seed_generation.hpp>
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#include <catch2/internal/catch_uniform_floating_point_distribution.hpp>
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#include <catch2/internal/catch_uniform_integer_distribution.hpp>
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#include <catch2/generators/catch_generators.hpp>
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#include <catch2/matchers/catch_matchers_range_equals.hpp>
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#include <random>
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TEST_CASE("Our PCG implementation provides expected results for known seeds", "[rng]") {
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Catch::SimplePcg32 rng;
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SECTION("Default seeded") {
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REQUIRE(rng() == 0xfcdb943b);
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REQUIRE(rng() == 0x6f55b921);
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REQUIRE(rng() == 0x4c17a916);
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REQUIRE(rng() == 0x71eae25f);
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REQUIRE(rng() == 0x6ce7909c);
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}
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SECTION("Specific seed") {
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rng.seed(0xabcd1234);
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REQUIRE(rng() == 0x57c08495);
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REQUIRE(rng() == 0x33c956ac);
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REQUIRE(rng() == 0x2206fd76);
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REQUIRE(rng() == 0x3501a35b);
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REQUIRE(rng() == 0xfdffb30f);
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// Also check repeated output after reseeding
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rng.seed(0xabcd1234);
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REQUIRE(rng() == 0x57c08495);
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REQUIRE(rng() == 0x33c956ac);
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REQUIRE(rng() == 0x2206fd76);
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REQUIRE(rng() == 0x3501a35b);
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REQUIRE(rng() == 0xfdffb30f);
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}
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}
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TEST_CASE("Comparison ops", "[rng]") {
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using Catch::SimplePcg32;
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REQUIRE(SimplePcg32{} == SimplePcg32{});
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REQUIRE(SimplePcg32{ 0 } != SimplePcg32{});
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REQUIRE_FALSE(SimplePcg32{ 1 } == SimplePcg32{ 2 });
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REQUIRE_FALSE(SimplePcg32{ 1 } != SimplePcg32{ 1 });
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}
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TEST_CASE("Random seed generation reports unknown methods", "[rng][seed]") {
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REQUIRE_THROWS(Catch::generateRandomSeed(static_cast<Catch::GenerateFrom>(77)));
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}
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TEST_CASE("Random seed generation accepts known methods", "[rng][seed]") {
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using Catch::GenerateFrom;
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const auto method = GENERATE(
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GenerateFrom::Time,
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GenerateFrom::RandomDevice,
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GenerateFrom::Default
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);
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REQUIRE_NOTHROW(Catch::generateRandomSeed(method));
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}
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TEMPLATE_TEST_CASE("uniform_floating_point_distribution never returns infs from finite range",
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"[rng][distribution][floating-point][approvals]", float, double) {
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std::random_device rd{};
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Catch::SimplePcg32 pcg( rd() );
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Catch::uniform_floating_point_distribution<TestType> dist(
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-std::numeric_limits<TestType>::max(),
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std::numeric_limits<TestType>::max() );
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for (size_t i = 0; i < 10'000; ++i) {
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auto ret = dist( pcg );
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REQUIRE_FALSE( std::isinf( ret ) );
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REQUIRE_FALSE( std::isnan( ret ) );
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}
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}
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TEST_CASE( "fillBitsFrom - shortening and stretching", "[rng][approvals]" ) {
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using Catch::Detail::fillBitsFrom;
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// The seed is not important, but the numbers below have to be repeatable.
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// They should also exhibit the same general pattern of being prefixes
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Catch::SimplePcg32 pcg( 0xaabb'ccdd );
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SECTION( "Shorten to 8 bits" ) {
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// We cast the result to avoid dealing with char-like type in uint8_t
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auto shortened = static_cast<uint32_t>( fillBitsFrom<uint8_t>( pcg ) );
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REQUIRE( shortened == 0xcc );
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}
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SECTION( "Shorten to 16 bits" ) {
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auto shortened = fillBitsFrom<uint16_t>( pcg );
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REQUIRE( shortened == 0xccbe );
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}
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SECTION( "Keep at 32 bits" ) {
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auto n = fillBitsFrom<uint32_t>( pcg );
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REQUIRE( n == 0xccbe'5f04 );
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}
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SECTION( "Stretch to 64 bits" ) {
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auto stretched = fillBitsFrom<uint64_t>( pcg );
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REQUIRE( stretched == 0xccbe'5f04'a424'a486 );
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}
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}
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TEST_CASE("uniform_integer_distribution can return the bounds", "[rng][distribution]") {
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Catch::uniform_integer_distribution<int32_t> dist( -10, 10 );
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REQUIRE( dist.a() == -10 );
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REQUIRE( dist.b() == 10 );
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}
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namespace {
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template <typename T>
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static void CheckReturnValue(Catch::uniform_integer_distribution<T>& dist,
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Catch::SimplePcg32& rng,
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T target) {
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REQUIRE( dist.a() == dist.b() );
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for (int i = 0; i < 1'000; ++i) {
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REQUIRE( dist( rng ) == target );
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}
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}
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}
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TEMPLATE_TEST_CASE( "uniform_integer_distribution can handle unit ranges",
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"[rng][distribution][approvals]",
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unsigned char,
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signed char,
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char,
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uint8_t,
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int8_t,
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uint16_t,
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int16_t,
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uint32_t,
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int32_t,
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uint64_t,
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int64_t,
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size_t,
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ptrdiff_t) {
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// We want random seed to sample different parts of the rng state,
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// the output is predetermined anyway
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std::random_device rd;
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auto seed = rd();
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CAPTURE( seed );
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Catch::SimplePcg32 pcg( seed );
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// We check unitary ranges of 3 different values, min for type, max for type,
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// some value inbetween just to make sure
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SECTION("lowest value") {
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constexpr auto lowest = std::numeric_limits<TestType>::min();
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Catch::uniform_integer_distribution<TestType> dist( lowest, lowest );
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CheckReturnValue( dist, pcg, lowest );
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}
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SECTION( "highest value" ) {
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constexpr auto highest = std::numeric_limits<TestType>::max();
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Catch::uniform_integer_distribution<TestType> dist( highest, highest );
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CheckReturnValue( dist, pcg, highest );
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}
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SECTION( "some value" ) {
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constexpr auto some = TestType( 42 );
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Catch::uniform_integer_distribution<TestType> dist( some, some );
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CheckReturnValue( dist, pcg, some );
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}
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}
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// Bool needs its own test because it doesn't have a valid "third" value
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TEST_CASE( "uniform_integer_distribution can handle boolean unit ranges",
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"[rng][distribution][approvals]" ) {
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// We want random seed to sample different parts of the rng state,
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// the output is predetermined anyway
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std::random_device rd;
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auto seed = rd();
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CAPTURE( seed );
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Catch::SimplePcg32 pcg( seed );
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// We check unitary ranges of 3 different values, min for type, max for
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// type, some value inbetween just to make sure
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SECTION( "lowest value" ) {
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Catch::uniform_integer_distribution<bool> dist( false, false );
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CheckReturnValue( dist, pcg, false );
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}
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SECTION( "highest value" ) {
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Catch::uniform_integer_distribution<bool> dist( true, true );
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CheckReturnValue( dist, pcg, true );
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}
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}
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TEMPLATE_TEST_CASE( "uniform_integer_distribution can handle full width ranges",
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"[rng][distribution][approvals]",
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unsigned char,
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signed char,
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char,
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uint8_t,
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int8_t,
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uint16_t,
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int16_t,
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uint32_t,
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int32_t,
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uint64_t,
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int64_t ) {
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// We want random seed to sample different parts of the rng state,
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// the output is predetermined anyway
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std::random_device rd;
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auto seed = rd();
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CAPTURE( seed );
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Catch::SimplePcg32 pcg( seed );
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constexpr auto lowest = std::numeric_limits<TestType>::min();
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constexpr auto highest = std::numeric_limits<TestType>::max();
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Catch::uniform_integer_distribution<TestType> dist( lowest, highest );
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STATIC_REQUIRE( std::is_same<TestType, decltype( dist( pcg ) )>::value );
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// We need to do bit operations on the results, so we will have to
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// cast them to unsigned type.
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using BitType = std::make_unsigned_t<TestType>;
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BitType ORs = 0;
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BitType ANDs = BitType(-1);
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for (int i = 0; i < 100; ++i) {
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auto bits = static_cast<BitType>( dist( pcg ) );
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ORs |= bits;
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ANDs &= bits;
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}
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// Assuming both our RNG and distribution are unbiased, asking for
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// the full range should essentially give us random bit generator.
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// Over long run, OR of all the generated values should have all
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// bits set to 1, while AND should have all bits set to 0.
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// The chance of this test failing for unbiased pipeline is
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// 1 / 2**iters, which for 100 iterations is astronomical.
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REQUIRE( ORs == BitType( -1 ) );
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REQUIRE( ANDs == 0 );
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}
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namespace {
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template <typename T>
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struct uniform_integer_test_params;
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template <>
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struct uniform_integer_test_params<bool> {
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static constexpr bool lowest = false;
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static constexpr bool highest = true;
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// This seems weird, but it is an artifact of the specific seed
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static constexpr bool expected[] = { true,
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true,
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true,
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true,
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true,
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true,
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false,
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true,
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true,
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true,
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true,
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true,
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false,
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true,
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true };
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};
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template <>
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struct uniform_integer_test_params<char> {
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static constexpr char lowest = 32;
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static constexpr char highest = 126;
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static constexpr char expected[] = { 'k',
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'\\',
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'Z',
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'X',
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'`',
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'Q',
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';',
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'o',
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']',
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'T',
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'v',
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'p',
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':',
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'S',
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't' };
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};
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template <>
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struct uniform_integer_test_params<uint8_t> {
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static constexpr uint8_t lowest = 3;
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static constexpr uint8_t highest = 123;
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static constexpr uint8_t expected[] = { 'c',
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'P',
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'M',
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'J',
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'U',
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'A',
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'%',
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'h',
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'Q',
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'F',
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'q',
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'i',
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'$',
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'E',
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'o' };
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};
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template <>
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struct uniform_integer_test_params<int8_t> {
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static constexpr int8_t lowest = -27;
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static constexpr int8_t highest = 73;
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static constexpr int8_t expected[] = { '5',
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'%',
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'#',
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' ',
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'*',
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25,
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2,
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'9',
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'&',
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29,
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'A',
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':',
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1,
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28,
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'?' };
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};
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template <>
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struct uniform_integer_test_params<uint16_t> {
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static constexpr uint16_t lowest = 123;
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static constexpr uint16_t highest = 33333;
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static constexpr uint16_t expected[] = { 26684,
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21417,
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20658,
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19791,
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22896,
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17433,
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9806,
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27948,
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21767,
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18588,
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30556,
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28244,
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9439,
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18293,
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29949 };
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};
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template <>
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struct uniform_integer_test_params<int16_t> {
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static constexpr int16_t lowest = -17222;
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static constexpr int16_t highest = 17222;
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static constexpr int16_t expected[] = { 10326,
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4863,
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4076,
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3177,
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6397,
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731,
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-7179,
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11637,
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5226,
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1929,
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14342,
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11944,
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-7560,
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1623,
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13712 };
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};
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template <>
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struct uniform_integer_test_params<uint32_t> {
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static constexpr uint32_t lowest = 17222;
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static constexpr uint32_t highest = 234234;
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static constexpr uint32_t expected[] = { 190784,
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156367,
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151409,
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145743,
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166032,
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130337,
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80501,
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199046,
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158654,
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137883,
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216091,
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200981,
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78099,
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135954,
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212120 };
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};
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template <>
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struct uniform_integer_test_params<int32_t> {
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static constexpr int32_t lowest = -237272;
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static constexpr int32_t highest = 234234;
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static constexpr int32_t expected[] = { 139829,
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65050,
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54278,
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41969,
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86051,
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8494,
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-99785,
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157781,
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70021,
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24890,
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194815,
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161985,
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-105004,
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20699,
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186186 };
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};
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template <>
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struct uniform_integer_test_params<uint64_t> {
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static constexpr uint64_t lowest = 1234;
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static constexpr uint64_t highest = 1234567890;
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static constexpr uint64_t expected[] = { 987382749,
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763380386,
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846572137,
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359990258,
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804599765,
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1131353566,
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346324913,
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1108760730,
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1141693933,
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856999148,
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879390623,
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1149485521,
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900556586,
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952385958,
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807916408 };
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};
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template <>
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struct uniform_integer_test_params<int64_t> {
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static constexpr int64_t lowest = -1234567890;
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static constexpr int64_t highest = 1234567890;
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static constexpr int64_t expected[] = { 740197113,
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292191940,
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458575608,
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-514589122,
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374630781,
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1028139036,
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-541919840,
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982953318,
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1048819790,
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479429651,
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524212647,
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1064402981,
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566544615,
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670203462,
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381264073 };
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};
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// We need these definitions for C++14 and earlier, but
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// GCC will complain about them in newer C++ standards
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#if __cplusplus <= 201402L
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constexpr bool uniform_integer_test_params<bool>::expected[];
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constexpr char uniform_integer_test_params<char>::expected[];
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constexpr uint8_t uniform_integer_test_params<uint8_t>::expected[];
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constexpr int8_t uniform_integer_test_params<int8_t>::expected[];
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constexpr uint16_t uniform_integer_test_params<uint16_t>::expected[];
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constexpr int16_t uniform_integer_test_params<int16_t>::expected[];
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constexpr uint32_t uniform_integer_test_params<uint32_t>::expected[];
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constexpr int32_t uniform_integer_test_params<int32_t>::expected[];
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constexpr uint64_t uniform_integer_test_params<uint64_t>::expected[];
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constexpr int64_t uniform_integer_test_params<int64_t>::expected[];
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#endif
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}
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TEMPLATE_TEST_CASE( "uniform_integer_distribution is reproducible",
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"[rng][distribution][approvals]",
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bool,
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char,
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uint8_t,
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int8_t,
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uint16_t,
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int16_t,
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uint32_t,
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int32_t,
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uint64_t,
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int64_t) {
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Catch::SimplePcg32 pcg( 0xaabb'ccdd );
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constexpr auto lowest = uniform_integer_test_params<TestType>::lowest;
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constexpr auto highest = uniform_integer_test_params<TestType>::highest;
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Catch::uniform_integer_distribution<TestType> dist(lowest, highest);
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constexpr auto iters = 15;
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std::array<TestType, iters> generated;
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for (int i = 0; i < iters; ++i) {
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generated[i] = dist( pcg );
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}
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REQUIRE_THAT(generated, Catch::Matchers::RangeEquals(uniform_integer_test_params<TestType>::expected));
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}
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// The reproducibility tests assume that operations on `float`/`double`
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// happen in the same precision as the operated-upon type. This is
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// generally true, unless the code is compiled for 32 bit targets without
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// SSE2 enabled, in which case the operations are done in the x87 FPU,
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// which usually implies doing math in 80 bit floats, and then rounding
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// into smaller type when the type is saved into memory. This obviously
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// leads to a different answer, than doing the math in the correct precision.
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#if ( defined( _MSC_VER ) && _M_IX86_FP < 2 ) || \
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( defined( __GNUC__ ) && \
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( ( defined( __i386__ ) || defined( __x86_64__ ) ) ) && \
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!defined( __SSE2_MATH__ ) )
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# define CATCH_TEST_CONFIG_DISABLE_FLOAT_REPRODUCIBILITY_TESTS
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#endif
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#if !defined( CATCH_TEST_CONFIG_DISABLE_FLOAT_REPRODUCIBILITY_TESTS )
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namespace {
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template <typename T>
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struct uniform_fp_test_params;
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template<>
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struct uniform_fp_test_params<float> {
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// These are exactly representable
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static constexpr float lowest = -256.125f;
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static constexpr float highest = 385.125f;
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|
// These are just round-trip formatted
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|
static constexpr float expected[] = { 92.56961f,
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|
-23.170044f,
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|
310.81833f,
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|
-53.023132f,
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|
105.03287f,
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|
198.77591f,
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|
-172.72931f,
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|
51.805176f,
|
|
-241.10156f,
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|
64.66101f,
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|
212.12509f,
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|
-49.24292f,
|
|
-177.1399f,
|
|
245.23679f,
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|
173.22421f };
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|
};
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|
template <>
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|
struct uniform_fp_test_params<double> {
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|
// These are exactly representable
|
|
static constexpr double lowest = -234582.9921875;
|
|
static constexpr double highest = 261238.015625;
|
|
// These are just round-trip formatted
|
|
static constexpr double expected[] = { 35031.207052832615,
|
|
203783.3401838024,
|
|
44667.940405848756,
|
|
-170100.5877224467,
|
|
-222966.7418051684,
|
|
127472.72630072923,
|
|
-173510.88209096913,
|
|
97394.16172239158,
|
|
119123.6921592663,
|
|
22595.741022785165,
|
|
8988.68409120926,
|
|
136906.86520606978,
|
|
33369.19104222473,
|
|
60912.7615841752,
|
|
-149060.05936760217 };
|
|
};
|
|
|
|
// We need these definitions for C++14 and earlier, but
|
|
// GCC will complain about them in newer C++ standards
|
|
#if __cplusplus <= 201402L
|
|
constexpr float uniform_fp_test_params<float>::expected[];
|
|
constexpr double uniform_fp_test_params<double>::expected[];
|
|
#endif
|
|
} // namespace
|
|
|
|
TEMPLATE_TEST_CASE( "uniform_floating_point_distribution is reproducible",
|
|
"[rng][distribution][floating-point][approvals]",
|
|
float,
|
|
double ) {
|
|
Catch::SimplePcg32 pcg( 0xaabb'aabb );
|
|
|
|
const auto lowest = uniform_fp_test_params<TestType>::lowest;
|
|
const auto highest = uniform_fp_test_params<TestType>::highest;
|
|
Catch::uniform_floating_point_distribution<TestType> dist( lowest, highest );
|
|
|
|
constexpr auto iters = 15;
|
|
std::array<TestType, iters> generated;
|
|
for ( int i = 0; i < iters; ++i ) {
|
|
generated[i] = dist( pcg );
|
|
}
|
|
|
|
REQUIRE_THAT( generated, Catch::Matchers::RangeEquals( uniform_fp_test_params<TestType>::expected ) );
|
|
}
|
|
|
|
#endif // ^^ float reproducibility tests are enabled
|
|
|
|
TEMPLATE_TEST_CASE( "uniform_floating_point_distribution can handle unitary ranges",
|
|
"[rng][distribution][floating-point][approvals]",
|
|
float,
|
|
double ) {
|
|
std::random_device rd;
|
|
auto seed = rd();
|
|
CAPTURE( seed );
|
|
Catch::SimplePcg32 pcg( seed );
|
|
|
|
const auto highest = TestType(385.125);
|
|
Catch::uniform_floating_point_distribution<TestType> dist( highest,
|
|
highest );
|
|
|
|
constexpr auto iters = 20;
|
|
for (int i = 0; i < iters; ++i) {
|
|
REQUIRE( Catch::Detail::directCompare( dist( pcg ), highest ) );
|
|
}
|
|
}
|