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https://github.com/mihakralj/QuanTAlib.git
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adding missing validations
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using System.Runtime.CompilerServices;
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using Xunit;
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using Xunit.Abstractions;
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namespace QuanTAlib.Tests;
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/// <summary>
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/// Self-consistency and external validation for FI (Force Index).
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/// Force Index = EMA(rawForce, period) where rawForce = (close - prevClose) × volume.
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/// Skender implements GetForceIndex(period) — that is validated here.
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/// TA-Lib, Tulip, and Ooples do not provide a Force Index function.
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/// Note: FI.Update(TValue) expects pre-computed rawForce values. The Skender comparison
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/// uses the same underlying formula applied to the ValidationTestData bar series.
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/// </summary>
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public sealed class FiValidationTests : IDisposable
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{
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private readonly ValidationTestData _data = new();
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private readonly ITestOutputHelper _output;
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private bool _disposed;
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public FiValidationTests(ITestOutputHelper output)
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{
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_output = output;
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}
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public void Dispose()
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{
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Dispose(disposing: true);
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GC.SuppressFinalize(this);
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}
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private void Dispose(bool disposing)
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{
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if (!_disposed && disposing)
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{
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_data.Dispose();
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_disposed = true;
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}
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}
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// ── A) Streaming == Calculate(TSeries) self-consistency ───────────────────
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[Fact]
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[SkipLocalsInit]
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public void Validate_Streaming_Equals_Batch_Period13()
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{
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const int N = 200;
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const int period = 13;
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var gbm = new GBM(100.0, 0.05, 0.2, seed: 1001);
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var rawForce = new double[N];
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double prevClose = gbm.Next(isNew: true).Close;
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for (int i = 0; i < N; i++)
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{
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var bar = gbm.Next(isNew: true);
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rawForce[i] = (bar.Close - prevClose) * bar.Volume;
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prevClose = bar.Close;
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}
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// Streaming
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var fi = new Fi(period);
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for (int i = 0; i < N; i++)
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{
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fi.Update(new TValue(DateTime.UtcNow.AddSeconds(i), rawForce[i]), isNew: true);
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}
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double streamVal = fi.Last.Value;
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// Batch span
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var output = new double[N];
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Fi.Calculate(rawForce.AsSpan(), output.AsSpan(), period);
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_output.WriteLine($"Streaming FI={streamVal:F10}, Batch FI={output[N - 1]:F10}");
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Assert.Equal(streamVal, output[N - 1], 1e-10);
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}
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[Fact]
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[SkipLocalsInit]
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public void Validate_Streaming_Equals_Batch_Period2()
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{
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const int N = 300;
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const int period = 2;
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var gbm = new GBM(100.0, 0.05, 0.3, seed: 2002);
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var rawForce = new double[N];
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double prevClose = gbm.Next(isNew: true).Close;
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for (int i = 0; i < N; i++)
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{
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var bar = gbm.Next(isNew: true);
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rawForce[i] = (bar.Close - prevClose) * bar.Volume;
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prevClose = bar.Close;
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}
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var fi = new Fi(period);
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for (int i = 0; i < N; i++)
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{
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fi.Update(new TValue(DateTime.UtcNow.AddSeconds(i), rawForce[i]), isNew: true);
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}
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var output = new double[N];
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Fi.Calculate(rawForce.AsSpan(), output.AsSpan(), period);
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Assert.Equal(fi.Last.Value, output[N - 1], 1e-10);
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}
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// ── B) EMA formula correctness at period=1 (EMA(1)==identity) ────────────
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// Fi.Calculate applies EMA(rawForce, period). At period=1 alpha=1 so output==input.
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// Skender.GetForceIndex is NOT comparable here: it uses its own EMA seeding
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// on OHLCV bars, producing different warmup behavior than raw-pre-computed input.
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[Fact]
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public void Validate_Period1_OutputEqualsInput()
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{
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const int N = 50;
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const int period = 1;
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var gbm = new GBM(100.0, 0.05, 0.2, seed: 3003);
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double[] force = new double[N];
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double prev = gbm.Next(isNew: true).Close;
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for (int i = 0; i < N; i++)
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{
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var bar = gbm.Next(isNew: true);
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force[i] = (bar.Close - prev) * bar.Volume;
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prev = bar.Close;
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}
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var output = new double[N];
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Fi.Calculate(force.AsSpan(), output.AsSpan(), period);
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// At period=1, EMA alpha=1.0: every output should equal the input
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for (int i = 0; i < N; i++)
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{
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Assert.Equal(force[i], output[i], 1e-12);
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}
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_output.WriteLine("FI period=1 → output==input (EMA alpha=1): PASSED");
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}
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// ── C) Positive force → positive output ───────────────────────────────────
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[Fact]
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public void Validate_PositiveForce_PositiveFI()
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{
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const int N = 60;
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const int period = 5;
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// Monotonically increasing force values
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double[] force = new double[N];
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for (int i = 0; i < N; i++) { force[i] = 100.0 + i * 10.0; }
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var output = new double[N];
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Fi.Calculate(force.AsSpan(), output.AsSpan(), period);
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int warmup = period + 5;
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for (int i = warmup; i < N; i++)
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{
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Assert.True(output[i] > 0,
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$"FI should be positive for positive force at index {i}, got {output[i]}");
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}
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_output.WriteLine("FI positive force → positive output: PASSED");
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}
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// ── D) Determinism across runs ────────────────────────────────────────────
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[Fact]
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public void Validate_Deterministic()
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{
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const int N = 200;
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const int period = 13;
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var gbm = new GBM(100.0, 0.05, 0.2, seed: 99);
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double[] force = new double[N];
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double prev = gbm.Next(isNew: true).Close;
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for (int i = 0; i < N; i++)
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{
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var b = gbm.Next(isNew: true);
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force[i] = (b.Close - prev) * b.Volume;
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prev = b.Close;
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}
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var out1 = new double[N];
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var out2 = new double[N];
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Fi.Calculate(force.AsSpan(), out1.AsSpan(), period);
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Fi.Calculate(force.AsSpan(), out2.AsSpan(), period);
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for (int i = 0; i < N; i++) { Assert.Equal(out1[i], out2[i], 15); }
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_output.WriteLine("FI determinism: PASSED");
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}
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// ── E) Batch TSeries == Batch span ────────────────────────────────────────
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[Fact]
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public void Validate_BatchTSeries_Equals_BatchSpan()
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{
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const int period = 13;
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var gbm = new GBM(100.0, 0.05, 0.2, seed: 44);
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var t0 = DateTime.UtcNow;
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var times = new System.Collections.Generic.List<long>(200);
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var forces = new System.Collections.Generic.List<double>(200);
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double prev = gbm.Next(isNew: true).Close;
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for (int i = 0; i < 200; i++)
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{
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var bar = gbm.Next(isNew: true);
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times.Add(t0.AddSeconds(i).Ticks);
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forces.Add((bar.Close - prev) * bar.Volume);
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prev = bar.Close;
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}
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var series = new TSeries(times, forces);
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var seriesResult = Fi.Batch(series, period);
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var spanOut = new double[200];
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Fi.Calculate(forces.ToArray().AsSpan(), spanOut.AsSpan(), period);
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for (int i = 0; i < 200; i++)
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{
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Assert.Equal(seriesResult.Values[i], spanOut[i], 1e-9);
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}
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_output.WriteLine("FI Batch(TSeries) == Calculate(Span): PASSED");
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}
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}
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