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159 lines
6.8 KiB
159 lines
6.8 KiB
namespace WhiteRabbit
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{
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using System;
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using System.Collections.Generic;
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using System.Collections.Immutable;
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using System.Linq;
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using System.Numerics;
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internal sealed class VectorsProcessor
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{
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private const byte MaxComponentValue = 8;
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private const int LeastCommonMultiple = 840;
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public VectorsProcessor(Vector<byte> target, int maxVectorsCount, Vector<byte>[] dictionary)
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{
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if (Enumerable.Range(0, Vector<byte>.Count).Any(i => target[i] > MaxComponentValue))
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{
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throw new ArgumentException($"Every value should be at most {MaxComponentValue} (at most {MaxComponentValue} same characters allowed in the source string)", nameof(target));
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}
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this.Target = target;
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this.MaxVectorsCount = maxVectorsCount;
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this.Dictionary = ImmutableArray.Create(FilterVectors(dictionary, target).ToArray());
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var normsIndex = new int[GetVectorNorm(target, target) + 1];
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var offset = 0;
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for (var i = normsIndex.Length - 1; i >= 0; i--)
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{
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while (offset < this.Dictionary.Length && this.Dictionary[offset].Norm > i)
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{
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offset++;
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}
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normsIndex[i] = offset;
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}
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this.NormsIndex = ImmutableArray.Create(normsIndex);
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}
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private Vector<byte> Target { get; }
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private int MaxVectorsCount { get; }
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private ImmutableArray<VectorInfo> Dictionary { get; }
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// Stores index of the first vector from Dictionary with norm less than or equal to offset
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private ImmutableArray<int> NormsIndex { get; }
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// Produces all sets of vectors with the target sum
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#if SINGLE_THREADED
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public IEnumerable<int[]> GenerateSequences()
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#else
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public ParallelQuery<int[]> GenerateSequences()
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#endif
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{
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return this.GenerateUnorderedSequences(this.Target, GetVectorNorm(this.Target, this.Target), this.MaxVectorsCount, 0)
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#if !SINGLE_THREADED
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.AsParallel()
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#endif
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.Select(Enumerable.ToArray);
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}
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// We want words with more letters (and among these, words with more "rare" letters) to appear first, to reduce the searching time somewhat.
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// Applying such a sort, we reduce the total number of triplets to check for anagrams from ~62M to ~29M.
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// Total number of quadruplets is reduced from 1468M to mere 311M.
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// And total number of quintuplets becomes reasonable 1412M.
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// Also, it produces the intended results faster (as these are more likely to contain longer words - e.g. "poultry outwits ants" is more likely than "p o u l t r y o u t w i t s a n t s").
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// This method basically gives us the 1-norm of the vector in the space rescaled so that the target is [1, 1, ..., 1].
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private static int GetVectorNorm(Vector<byte> vector, Vector<byte> target)
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{
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var norm = 0;
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for (var i = 0; target[i] != 0; i++)
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{
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norm += (LeastCommonMultiple * vector[i]) / target[i];
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}
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return norm;
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}
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private static VectorInfo[] FilterVectors(Vector<byte>[] vectors, Vector<byte> target)
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{
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return Enumerable.Range(0, vectors.Length)
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.Where(i => Vector.GreaterThanOrEqualAll(target, vectors[i]))
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.Select(i => new VectorInfo(vectors[i], GetVectorNorm(vectors[i], target), i))
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.OrderByDescending(vectorInfo => vectorInfo.Norm)
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.ToArray();
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}
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// This method takes most of the time, so everything related to it must be optimized.
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// In every sequence, next vector always goes after the previous one from dictionary.
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// E.g. if dictionary is [x, y, z], then only [x, y] sequence could be generated, and [y, x] will never be generated.
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// That way, the complexity of search goes down by a factor of MaxVectorsCount! (as if [x, y] does not add up to a required target, there is no point in checking [y, x])
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private IEnumerable<ImmutableStack<int>> GenerateUnorderedSequences(Vector<byte> remainder, int remainderNorm, int allowedRemainingWords, int currentDictionaryPosition)
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{
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if (allowedRemainingWords > 1)
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{
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var newAllowedRemainingWords = allowedRemainingWords - 1;
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// E.g. if remainder norm is 7, 8 or 9, and allowedRemainingWords is 3,
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// we need the largest remaining word to have a norm of at least 3
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var requiredRemainderPerWord = (remainderNorm + allowedRemainingWords - 1) / allowedRemainingWords;
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for (var i = Math.Max(this.NormsIndex[remainderNorm], currentDictionaryPosition); i < this.Dictionary.Length; i++)
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{
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var currentVectorInfo = this.Dictionary[i];
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if (currentVectorInfo.Vector == remainder)
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{
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yield return ImmutableStack.Create(currentVectorInfo.Index);
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}
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else if (currentVectorInfo.Norm < requiredRemainderPerWord)
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{
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break;
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}
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else if (Vector.LessThanOrEqualAll(currentVectorInfo.Vector, remainder))
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{
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var newRemainder = remainder - currentVectorInfo.Vector;
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var newRemainderNorm = remainderNorm - currentVectorInfo.Norm;
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foreach (var result in this.GenerateUnorderedSequences(newRemainder, newRemainderNorm, newAllowedRemainingWords, i))
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{
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yield return result.Push(currentVectorInfo.Index);
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}
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}
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}
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}
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else
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{
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for (var i = Math.Max(this.NormsIndex[remainderNorm], currentDictionaryPosition); i < this.Dictionary.Length; i++)
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{
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var currentVectorInfo = this.Dictionary[i];
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if (currentVectorInfo.Vector == remainder)
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{
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yield return ImmutableStack.Create(currentVectorInfo.Index);
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}
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else if (currentVectorInfo.Norm < remainderNorm)
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{
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break;
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}
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}
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}
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}
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private struct VectorInfo
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{
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public VectorInfo(Vector<byte> vector, int norm, int index)
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{
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this.Vector = vector;
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this.Norm = norm;
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this.Index = index;
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}
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public Vector<byte> Vector { get; }
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public int Norm { get; }
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public int Index { get; }
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}
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}
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}
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