87 lines
2.0 KiB
C#
87 lines
2.0 KiB
C#
using FluentAssertions;
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using PerfectNumbers.Core.Gpu.Accelerators;
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using Xunit;
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namespace PerfectNumbers.Core.Tests;
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[Collection("GpuNtt")]
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[Trait("Category", "Fast")]
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public class MersenneNumberTesterTests
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{
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[Theory]
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[InlineData(136_000_002UL)]
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[InlineData(136_000_005UL)]
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public void IsMersennePrime_detects_small_prime_divisors_for_large_exponents(ulong p)
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{
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var tester = new MersenneNumberTester();
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var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
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try
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{
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tester.IsMersennePrime(gpu, p).Should().BeFalse();
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}
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finally
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{
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PrimeOrderCalculatorAccelerator.Return(gpu);
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}
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}
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[Theory]
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[InlineData(125UL)]
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public void WarmUpOrdersCpu_populates_cache_without_affecting_results(ulong p)
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{
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var tester = new MersenneNumberTester(useOrderCache: true, useGpuOrder: true);
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tester.WarmUpOrdersCpu(p, 1_000UL);
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var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
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try
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{
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tester.IsMersennePrime(gpu, p).Should().BeFalse();
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}
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finally
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{
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PrimeOrderCalculatorAccelerator.Return(gpu);
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}
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}
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[Theory]
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[InlineData(125UL)]
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public void WarmUpOrdersGpu_populates_cache_without_affecting_results(ulong p)
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{
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var tester = new MersenneNumberTester(useOrderCache: true, useGpuOrder: true);
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tester.WarmUpOrdersGpu(p, 1_000UL);
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var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
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try
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{
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tester.IsMersennePrime(gpu, p).Should().BeFalse();
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}
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finally
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{
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PrimeOrderCalculatorAccelerator.Return(gpu);
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}
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}
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[Theory]
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[InlineData(125UL, true)]
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[InlineData(127UL, false)]
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public void SharesFactorWithExponentMinusOneCpu_detects_common_factors(ulong p, bool expected)
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{
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p.SharesFactorWithExponentMinusOneCpu().Should().Be(expected);
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}
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[Theory]
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[InlineData(125UL, true)]
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[InlineData(127UL, false)]
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public void SharesFactorWithExponentMinusOneGpu_detects_common_factors(ulong p, bool expected)
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{
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var gpu = PrimeOrderCalculatorAccelerator.Rent(1);
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try
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{
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p.SharesFactorWithExponentMinusOneGpu(gpu).Should().Be(expected);
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}
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finally
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{
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PrimeOrderCalculatorAccelerator.Return(gpu);
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}
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}
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}
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