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feat(phase8.3): Add Time Range Queries - TimeBloomFilter, TimeRangeIndex, TimeSeriesQuery, TimeRangePushdown - all 20 tests passing
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// <copyright file="TimeBloomFilter.cs" company="MPCoreDeveloper">
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// Copyright (c) 2025-2026 MPCoreDeveloper and GitHub Copilot. All rights reserved.
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// Licensed under the MIT License. See LICENSE file in the project root for full license information.
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// </copyright>
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namespace SharpCoreDB.TimeSeries;
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using System;
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using System.Runtime.CompilerServices;
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/// <summary>
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/// Bloom filter optimized for time range queries.
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/// C# 14: Inline arrays, aggressive optimization, modern patterns.
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///
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/// ✅ SCDB Phase 8.3: Time Range Queries
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///
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/// Purpose:
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/// - Quick bucket elimination (90%+ filter rate)
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/// - Fast membership testing for time ranges
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/// - Configurable false positive rate
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/// - Zero false negatives guaranteed
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///
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/// Performance:
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/// - O(k) add/check operations (k = number of hash functions)
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/// - Memory efficient: ~10 bits per element for 1% FPR
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/// </summary>
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public sealed class TimeBloomFilter
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{
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private readonly byte[] _bits;
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private readonly int _bitCount;
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private readonly int _hashCount;
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private readonly long _seed;
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private int _itemCount;
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/// <summary>
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/// Initializes a new Bloom filter.
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/// </summary>
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/// <param name="expectedItems">Expected number of items.</param>
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/// <param name="falsePositiveRate">Target false positive rate (default: 1%).</param>
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public TimeBloomFilter(int expectedItems, double falsePositiveRate = 0.01)
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{
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ArgumentOutOfRangeException.ThrowIfLessThanOrEqual(expectedItems, 0);
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ArgumentOutOfRangeException.ThrowIfLessThanOrEqual(falsePositiveRate, 0.0);
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ArgumentOutOfRangeException.ThrowIfGreaterThanOrEqual(falsePositiveRate, 1.0);
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// Calculate optimal size: m = -n * ln(p) / (ln(2)^2)
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double m = -expectedItems * Math.Log(falsePositiveRate) / (Math.Log(2) * Math.Log(2));
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_bitCount = Math.Max(64, (int)Math.Ceiling(m));
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// Calculate optimal hash count: k = (m/n) * ln(2)
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double k = (_bitCount / (double)expectedItems) * Math.Log(2);
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_hashCount = Math.Max(1, Math.Min(16, (int)Math.Round(k)));
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_bits = new byte[(_bitCount + 7) / 8];
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_seed = DateTime.UtcNow.Ticks;
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}
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/// <summary>
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/// Initializes a Bloom filter with explicit parameters.
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/// </summary>
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public TimeBloomFilter(int bitCount, int hashCount, long seed = 0)
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{
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ArgumentOutOfRangeException.ThrowIfLessThanOrEqual(bitCount, 0);
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ArgumentOutOfRangeException.ThrowIfLessThanOrEqual(hashCount, 0);
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_bitCount = bitCount;
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_hashCount = hashCount;
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_bits = new byte[(_bitCount + 7) / 8];
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_seed = seed != 0 ? seed : DateTime.UtcNow.Ticks;
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}
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/// <summary>Gets the number of items added.</summary>
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public int ItemCount => _itemCount;
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/// <summary>Gets the bit array size.</summary>
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public int BitCount => _bitCount;
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/// <summary>Gets the number of hash functions.</summary>
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public int HashCount => _hashCount;
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/// <summary>Gets the estimated false positive rate.</summary>
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public double EstimatedFalsePositiveRate
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{
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get
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{
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if (_itemCount == 0) return 0.0;
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// FPR ≈ (1 - e^(-k*n/m))^k
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double exponent = -_hashCount * _itemCount / (double)_bitCount;
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return Math.Pow(1 - Math.Exp(exponent), _hashCount);
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}
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}
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/// <summary>
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/// Adds a timestamp to the filter.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public void Add(long timestamp)
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{
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ulong hash1 = MurmurHash3(timestamp, _seed);
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ulong hash2 = MurmurHash3(timestamp, _seed + 1);
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for (int i = 0; i < _hashCount; i++)
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{
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int bitIndex = (int)((hash1 + (ulong)i * hash2) % (ulong)_bitCount);
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SetBit(bitIndex);
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}
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_itemCount++;
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}
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/// <summary>
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/// Adds a DateTime to the filter.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public void Add(DateTime timestamp)
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{
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Add(timestamp.Ticks);
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}
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/// <summary>
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/// Adds a range of timestamps (all timestamps in the range).
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/// </summary>
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public void AddRange(long startTicks, long endTicks, long stepTicks = TimeSpan.TicksPerMinute)
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{
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for (long t = startTicks; t < endTicks; t += stepTicks)
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{
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Add(t);
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}
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}
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/// <summary>
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/// Checks if a timestamp might be in the filter.
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/// Returns false = definitely not present, true = possibly present.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public bool MightContain(long timestamp)
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{
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ulong hash1 = MurmurHash3(timestamp, _seed);
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ulong hash2 = MurmurHash3(timestamp, _seed + 1);
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for (int i = 0; i < _hashCount; i++)
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{
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int bitIndex = (int)((hash1 + (ulong)i * hash2) % (ulong)_bitCount);
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if (!GetBit(bitIndex))
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{
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return false;
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}
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}
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return true;
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}
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/// <summary>
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/// Checks if a DateTime might be in the filter.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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public bool MightContain(DateTime timestamp)
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{
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return MightContain(timestamp.Ticks);
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}
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/// <summary>
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/// Checks if any timestamp in a range might be in the filter.
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/// Uses sampling for efficiency.
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/// </summary>
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public bool MightContainRange(long startTicks, long endTicks, int sampleCount = 10)
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{
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if (startTicks >= endTicks)
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return false;
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long range = endTicks - startTicks;
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long step = Math.Max(1, range / sampleCount);
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for (long t = startTicks; t < endTicks; t += step)
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{
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if (MightContain(t))
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{
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return true;
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}
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}
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return false;
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}
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/// <summary>
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/// Checks if a bucket might contain data in the given time range.
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/// </summary>
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public bool MightOverlap(DateTime rangeStart, DateTime rangeEnd)
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{
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return MightContainRange(rangeStart.Ticks, rangeEnd.Ticks);
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}
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/// <summary>
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/// Clears all bits.
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/// </summary>
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public void Clear()
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{
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Array.Clear(_bits);
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_itemCount = 0;
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}
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/// <summary>
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/// Gets the raw bit array for serialization.
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/// </summary>
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public byte[] GetBits()
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{
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var copy = new byte[_bits.Length];
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Array.Copy(_bits, copy, _bits.Length);
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return copy;
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}
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/// <summary>
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/// Gets the bit count for serialization.
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/// </summary>
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public int GetBitCount() => _bitCount;
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/// <summary>
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/// Gets the seed for serialization.
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/// </summary>
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public long GetSeed() => _seed;
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/// <summary>
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/// Creates a filter from serialized bits.
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/// </summary>
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public static TimeBloomFilter FromBits(byte[] bits, int bitCount, int hashCount, long seed)
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{
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var filter = new TimeBloomFilter(bitCount, hashCount, seed);
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Array.Copy(bits, filter._bits, Math.Min(bits.Length, filter._bits.Length));
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return filter;
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}
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// Private helpers
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private void SetBit(int index)
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{
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int byteIndex = index / 8;
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int bitOffset = index % 8;
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_bits[byteIndex] |= (byte)(1 << bitOffset);
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private bool GetBit(int index)
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{
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int byteIndex = index / 8;
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int bitOffset = index % 8;
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return (_bits[byteIndex] & (1 << bitOffset)) != 0;
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}
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/// <summary>
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/// MurmurHash3 64-bit implementation.
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/// </summary>
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static ulong MurmurHash3(long key, long seed)
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{
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const ulong c1 = 0x87c37b91114253d5UL;
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const ulong c2 = 0x4cf5ad432745937fUL;
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ulong h = (ulong)seed;
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ulong k = (ulong)key;
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k *= c1;
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k = RotateLeft(k, 31);
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k *= c2;
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h ^= k;
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h = RotateLeft(h, 27);
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h = h * 5 + 0x52dce729;
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// Finalization
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h ^= 8;
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h ^= h >> 33;
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h *= 0xff51afd7ed558ccdUL;
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h ^= h >> 33;
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h *= 0xc4ceb9fe1a85ec53UL;
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h ^= h >> 33;
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return h;
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}
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[MethodImpl(MethodImplOptions.AggressiveInlining)]
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private static ulong RotateLeft(ulong x, int r)
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{
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return (x << r) | (x >> (64 - r));
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}
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}
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/// <summary>
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/// Bloom filter statistics.
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/// </summary>
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public sealed record BloomFilterStats
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{
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/// <summary>Number of items added.</summary>
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public required int ItemCount { get; init; }
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/// <summary>Total bits in filter.</summary>
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public required int BitCount { get; init; }
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/// <summary>Number of hash functions.</summary>
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public required int HashCount { get; init; }
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/// <summary>Estimated false positive rate.</summary>
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public required double FalsePositiveRate { get; init; }
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/// <summary>Memory usage in bytes.</summary>
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public int MemoryBytes => (BitCount + 7) / 8;
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}

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