From d079b656b4719739b2247dcd9d46e9bec793095a Mon Sep 17 00:00:00 2001
From: Daniel Baumann <daniel.baumann@progress-linux.org>
Date: Mon, 6 Feb 2023 17:11:34 +0100
Subject: Merging upstream version 1.38.0.

Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
---
 ml/SamplesBuffer.cc | 63 ++++++++++++++++++++++++++++++++++++++++-------------
 1 file changed, 48 insertions(+), 15 deletions(-)

(limited to 'ml/SamplesBuffer.cc')

diff --git a/ml/SamplesBuffer.cc b/ml/SamplesBuffer.cc
index d276c6e09..359b60c23 100644
--- a/ml/SamplesBuffer.cc
+++ b/ml/SamplesBuffer.cc
@@ -54,12 +54,12 @@ void SamplesBuffer::diffSamples() {
 
 void SamplesBuffer::smoothSamples() {
     // Holds the mean value of each window
-    CalculatedNumber *AccCNs = new CalculatedNumber[NumDimsPerSample]();
-    Sample Acc(AccCNs, NumDimsPerSample);
+    CalculatedNumber AccCNs[1] = { 0 };
+    Sample Acc(AccCNs, 1);
 
     // Used to avoid clobbering the accumulator when moving the window
-    CalculatedNumber *TmpCNs = new CalculatedNumber[NumDimsPerSample]();
-    Sample Tmp(TmpCNs, NumDimsPerSample);
+    CalculatedNumber TmpCNs[1] = { 0 };
+    Sample Tmp(TmpCNs, 1);
 
     CalculatedNumber Factor = (CalculatedNumber) 1 / SmoothN;
 
@@ -88,9 +88,6 @@ void SamplesBuffer::smoothSamples() {
         Acc.copy(Tmp);
         Acc.scale(Factor);
     }
-
-    delete[] AccCNs;
-    delete[] TmpCNs;
 }
 
 void SamplesBuffer::lagSamples() {
@@ -103,31 +100,30 @@ void SamplesBuffer::lagSamples() {
     }
 }
 
-std::vector<DSample> SamplesBuffer::preprocess() {
+void SamplesBuffer::preprocess(std::vector<DSample> &Samples) {
     assert(Preprocessed == false);
 
-    std::vector<DSample> DSamples;
     size_t OutN = NumSamples;
 
     // Diff
     if (DiffN >= OutN)
-        return DSamples;
+        return;
     OutN -= DiffN;
     diffSamples();
 
     // Smooth
     if (SmoothN == 0 || SmoothN > OutN)
-        return DSamples;
+        return;
     OutN -= (SmoothN - 1);
     smoothSamples();
 
     // Lag
     if (LagN >= OutN)
-        return DSamples;
+        return;
     OutN -= LagN;
     lagSamples();
 
-    DSamples.reserve(OutN);
+    Samples.reserve(OutN);
     Preprocessed = true;
 
     uint32_t MaxMT = std::numeric_limits<uint32_t>::max();
@@ -143,8 +139,45 @@ std::vector<DSample> SamplesBuffer::preprocess() {
         const Sample PS = getPreprocessedSample(Idx);
         PS.initDSample(DS);
 
-        DSamples.push_back(DS);
+        Samples.push_back(std::move(DS));
     }
+}
+
+void SamplesBuffer::preprocess(DSample &Feature) {
+    assert(Preprocessed == false);
+
+    size_t OutN = NumSamples;
+
+    // Diff
+    if (DiffN >= OutN)
+        return;
+    OutN -= DiffN;
+    diffSamples();
 
-    return DSamples;
+    // Smooth
+    if (SmoothN == 0 || SmoothN > OutN)
+        return;
+    OutN -= (SmoothN - 1);
+    smoothSamples();
+
+    // Lag
+    if (LagN >= OutN)
+        return;
+    OutN -= LagN;
+    lagSamples();
+
+    Preprocessed = true;
+
+    uint32_t MaxMT = std::numeric_limits<uint32_t>::max();
+    uint32_t CutOff = static_cast<double>(MaxMT) * SamplingRatio;
+
+    for (size_t Idx = NumSamples - OutN; Idx != NumSamples; Idx++) {
+        if (RandNums[Idx] > CutOff)
+            continue;
+
+        Feature.set_size(NumDimsPerSample * (LagN + 1));
+
+        const Sample PS = getPreprocessedSample(Idx);
+        PS.initDSample(Feature);
+    }
 }
-- 
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