[chronojump] Networks encoder loss upload same criteria (do not use rep with low ROM)

[Xavier de Blas <xaviblas src gnome org>]

commit 985b872c0443f043f01b4da4d7eb26b08b5f1125
Author: Xavier de Blas <xaviblas gmail com>
Date:   Tue Mar 3 16:57:46 2020 +0100

    Networks encoder loss upload same criteria (do not use rep with low ROM)

 src/encoder.cs               | 10 ++++++++--
 src/json/compujumpEncoder.cs |  9 +++++++--
 2 files changed, 15 insertions(+), 4 deletions(-)
---
diff --git a/src/encoder.cs b/src/encoder.cs
index dfe2ac03..e332d673 100644
--- a/src/encoder.cs
+++ b/src/encoder.cs
@@ -647,15 +647,17 @@ public class EncoderSignal
        {
                double lowest = 100000;
                double highest = 0;
+               int highestPos = 0;
                double eccValue = 0;
                double conValue = 0;
                bool ecc = true;
-               //int i = 0;
+               int i = 0;
                foreach (EncoderCurve curve in curves)
                {
                        if(ecc)
                        {
                                ecc = false;
+                               i++;
                                continue;
                        }
 
@@ -668,13 +670,17 @@ public class EncoderSignal
                        if(compareTo > highest)
                        {
                                highest = compareTo;
+                               highestPos = i;
                                needChangeLowest = true;        //min rep has to be after max
-                       } if(needChangeLowest || compareTo < lowest)
+                       } if(needChangeLowest || (compareTo < lowest &&
+                                               ((EncoderCurve) curves[i]).GetParameter(Constants.Range) >= 
.7 * ((EncoderCurve) curves[highestPos]).GetParameter(Constants.Range)
+                                               ))
                                lowest = compareTo;
 
                        //LogB.Information(string.Format("Loss ecc/con (by con) of {0}; i: {1} is: {2}", 
variable, i++,
                        //                      Convert.ToInt32(UtilAll.DivideSafe(100.0 * (highest - 
lowest), highest))));
 
+                       i++;
                        ecc = true;
                }
                return Convert.ToInt32(UtilAll.DivideSafe(100.0 * (highest - lowest), highest));
diff --git a/src/json/compujumpEncoder.cs b/src/json/compujumpEncoder.cs
index 0daf98d2..3ceeb4e7 100644
--- a/src/json/compujumpEncoder.cs
+++ b/src/json/compujumpEncoder.cs
@@ -254,8 +254,9 @@ public class UploadEncoderDataObject
        {
                double lowest = 100000;
                double highest = 0;
+               int highestPos = 0;
 
-               //int i=0;
+               int i=0;
                foreach (EncoderCurve curve in curves)
                {
                        double compareTo = curve.MeanSpeedD;
@@ -266,12 +267,16 @@ public class UploadEncoderDataObject
                        if(compareTo > highest)
                        {
                                highest = compareTo;
+                               highestPos = i;
                                needChangeLowest = true;        //min rep has to be after max
                        }
-                       if(needChangeLowest || compareTo < lowest)
+                       if(needChangeLowest || (compareTo < lowest &&
+                                               ((EncoderCurve) curves[i]).GetParameter(Constants.Range) >= 
.7 * ((EncoderCurve) curves[highestPos]).GetParameter(Constants.Range)
+                                              ))
                                lowest = compareTo;
 
                        //LogB.Information(string.Format("Loss (con) of {0}; i: {1} is: {2}", by.ToString(), 
i++, Convert.ToInt32(UtilAll.DivideSafe(100.0 * (highest - lowest), highest))));
+                       i ++;
                }
                return Convert.ToInt32(UtilAll.DivideSafe(100.0 * (highest - lowest), highest));
        }