diff --git a/src/Microsoft.ML.HalLearners/SymSgdClassificationTrainer.cs b/src/Microsoft.ML.HalLearners/SymSgdClassificationTrainer.cs
index 30fd5410de..cc7c07edc2 100644
--- a/src/Microsoft.ML.HalLearners/SymSgdClassificationTrainer.cs
+++ b/src/Microsoft.ML.HalLearners/SymSgdClassificationTrainer.cs
@@ -171,7 +171,7 @@ public SymSgdClassificationTrainer(IHostEnvironment env,
             _args.FeatureColumn = featureColumn;
             _args.LabelColumn = labelColumn;
 
-            Info = new TrainerInfo(supportIncrementalTrain:true);
+            Info = new TrainerInfo(supportIncrementalTrain: true);
         }
 
         /// <summary>
@@ -201,7 +201,7 @@ protected override BinaryPredictionTransformer<TPredictor> MakeTransformer(TPred
              => new BinaryPredictionTransformer<TPredictor>(Host, model, trainSchema, FeatureColumn.Name);
 
         public BinaryPredictionTransformer<TPredictor> Train(IDataView trainData, TPredictor initialPredictor = null)
-            => TrainTransformer(trainData,  initPredictor: initialPredictor);
+            => TrainTransformer(trainData, initPredictor: initialPredictor);
 
         protected override SchemaShape.Column[] GetOutputColumnsCore(SchemaShape inputSchema)
         {
@@ -690,7 +690,8 @@ private TPredictor TrainCore(IChannel ch, RoleMappedData data, LinearModelParame
                                 entry => entry.SetProgress(0, state.PassIteration, _args.NumberOfIterations));
                             // If fully loaded, call the SymSGDNative and do not come back until learned for all iterations.
                             Native.LearnAll(inputDataManager, tuneLR, ref lr, l2Const, piw, weightsEditor.Values, ref bias, numFeatures,
-                                _args.NumberOfIterations, numThreads, tuneNumLocIter, ref numLocIter, _args.Tolerance, _args.Shuffle, shouldInitialize, stateGCHandle);
+                                _args.NumberOfIterations, numThreads, tuneNumLocIter, ref numLocIter, _args.Tolerance, _args.Shuffle, shouldInitialize,
+                                stateGCHandle, ch.Info);
                             shouldInitialize = false;
                         }
                         else
@@ -711,7 +712,8 @@ private TPredictor TrainCore(IChannel ch, RoleMappedData data, LinearModelParame
                                 numPassesForThisBatch = Math.Max(1, numPassesForThisBatch);
                                 state.PassIteration = iter;
                                 Native.LearnAll(inputDataManager, tuneLR, ref lr, l2Const, piw, weightsEditor.Values, ref bias, numFeatures,
-                                    numPassesForThisBatch, numThreads, tuneNumLocIter, ref numLocIter, _args.Tolerance, _args.Shuffle, shouldInitialize, stateGCHandle);
+                                    numPassesForThisBatch, numThreads, tuneNumLocIter, ref numLocIter, _args.Tolerance, _args.Shuffle, shouldInitialize,
+                                    stateGCHandle, ch.Info);
                                 shouldInitialize = false;
 
                                 // Check if we are done with going through the data
@@ -760,10 +762,14 @@ private static unsafe class Native
 
             internal const string NativePath = "SymSgdNative";
             internal const string MklPath = "MklImports";
+
+            public delegate void ChannelCallBack(string message);
+
             [DllImport(NativePath), SuppressUnmanagedCodeSecurity]
             private static extern void LearnAll(int totalNumInstances, int* instSizes, int** instIndices,
                 float** instValues, float* labels, bool tuneLR, ref float lr, float l2Const, float piw, float* weightVector, ref float bias,
-                int numFeatres, int numPasses, int numThreads, bool tuneNumLocIter, ref int numLocIter, float tolerance, bool needShuffle, bool shouldInitialize, State* state);
+                int numFeatres, int numPasses, int numThreads, bool tuneNumLocIter, ref int numLocIter, float tolerance, bool needShuffle, bool shouldInitialize,
+                State* state, ChannelCallBack info);
 
             /// <summary>
             /// This method puts all of the buffered instances in array of pointers to pass it to SymSGDNative.
@@ -784,9 +790,10 @@ private static extern void LearnAll(int totalNumInstances, int* instSizes, int**
             /// <param name="needShuffle">Specifies if data needs to be shuffled</param>
             /// <param name="shouldInitialize">Specifies if this is the first time to run SymSGD</param>
             /// <param name="stateGCHandle"></param>
+            /// <param name="info"></param>
             public static void LearnAll(InputDataManager inputDataManager, bool tuneLR,
                 ref float lr, float l2Const, float piw, Span<float> weightVector, ref float bias, int numFeatres, int numPasses,
-                int numThreads, bool tuneNumLocIter, ref int numLocIter, float tolerance, bool needShuffle, bool shouldInitialize, GCHandle stateGCHandle)
+                int numThreads, bool tuneNumLocIter, ref int numLocIter, float tolerance, bool needShuffle, bool shouldInitialize, GCHandle stateGCHandle, ChannelCallBack info)
             {
                 inputDataManager.PrepareCursoring();
 
@@ -827,7 +834,8 @@ public static void LearnAll(InputDataManager inputDataManager, bool tuneLR,
                 fixed (float* pInstLabels = &instLabels[0])
                 {
                     LearnAll(totalNumInstances, pInstSizes, pIndicesPointer, pValuesPointer, pInstLabels, tuneLR, ref lr, l2Const, piw,
-                            pweightVector, ref bias, numFeatres, numPasses, numThreads, tuneNumLocIter, ref numLocIter, tolerance, needShuffle, shouldInitialize, (State*)stateGCHandle.AddrOfPinnedObject());
+                            pweightVector, ref bias, numFeatres, numPasses, numThreads, tuneNumLocIter, ref numLocIter, tolerance, needShuffle,
+                            shouldInitialize, (State*)stateGCHandle.AddrOfPinnedObject(), info);
                 }
             }
 
diff --git a/src/Native/SymSgdNative/SymSgdNative.cpp b/src/Native/SymSgdNative/SymSgdNative.cpp
index 76a1314cf2..680bc80798 100644
--- a/src/Native/SymSgdNative/SymSgdNative.cpp
+++ b/src/Native/SymSgdNative/SymSgdNative.cpp
@@ -10,6 +10,7 @@
 #include <omp.h>
 #endif
 #include <unordered_map>
+#include <string>
 #include "../Stdafx.h"
 #include "Macros.h"
 #include "SparseBLAS.h"
@@ -177,7 +178,7 @@ float MaxPossibleAlpha(float alpha, float l2Const, int totalNumInstances)
 }
 
 void TuneAlpha(float& alpha, float l2Const, int totalNumInstances, int* instSizes, int** instIndices,
-    float** instValues, int numFeat, int numThreads) 
+    float** instValues, int numFeat, int numThreads, ChannelFunc info_print_func = NULL) 
 {
     alpha = 1e0f;
     int logSqrtNumInst = (int) round(log10(sqrt(totalNumInstances)))-3;
@@ -198,8 +199,8 @@ void TuneAlpha(float& alpha, float l2Const, int totalNumInstances, int* instSize
         // alpha < (1-10^(-6/totalNumInstances))/l2Const.
         alpha = MIN(alpha, MaxPossibleAlpha(alpha, l2Const, totalNumInstances));
     }
-
-    printf("Initial learning rate is tuned to %f\n", alpha);
+    if (info_print_func != NULL)
+        info_print_func(("Initial learning rate is tuned to " + std::to_string(alpha)).c_str());
 }
 
 
@@ -221,17 +222,18 @@ void TuneNumLocIter(int& numLocIter, int totalNumInstances, int* instSizes, int
 // required memory for SymSGD learners.
 void InitializeState(int totalNumInstances, int* instSizes, int** instIndices, float** instValues, 
     int numFeat, bool tuneNumLocIter, int& numLocIter, int numThreads, bool tuneAlpha, float& alpha, 
-    float l2Const, SymSGDState* state)
+    float l2Const, SymSGDState* state, ChannelFunc info_print_func = NULL)
 {
     if (tuneAlpha) 
     {
-        TuneAlpha(alpha, l2Const, totalNumInstances, instSizes, instIndices, instValues, numFeat, numThreads);
+        TuneAlpha(alpha, l2Const, totalNumInstances, instSizes, instIndices, instValues, numFeat, numThreads, info_print_func);
     } else
     {
         // Check if user alpha is too large because of l2Const. Check the comment about positive l2Const in TuneAlpha.
         float maxPossibleAlpha = MaxPossibleAlpha(alpha, l2Const, totalNumInstances);
         if (alpha > maxPossibleAlpha)
-            printf("Warning: learning rate is too high! Try using a value < %e instead\n", maxPossibleAlpha);
+            if (info_print_func != NULL)
+                info_print_func(("Warning: learning rate is too high! Try using a value < " + std::to_string(maxPossibleAlpha) + " instead").c_str());
     }
 
     if (tuneNumLocIter)
@@ -246,7 +248,11 @@ void InitializeState(int totalNumInstances, int* instSizes, int** instIndices, f
         state->TotalInstancesProcessed = 0;
         ComputeRemapping(totalNumInstances, instSizes, instIndices, numFeat,
             numLocIter, numThreads, state, state->NumFrequentFeatures);
-        printf("Number of frequent features: %d\nNumber of features: %d\n", state->NumFrequentFeatures, numFeat);
+        if (info_print_func != NULL)
+        {
+            info_print_func(("Number of frequent features: " + std::to_string(state->NumFrequentFeatures)).c_str());
+            info_print_func(("Number of features: " + std::to_string(numFeat)).c_str());
+        }
 
         state->NumLearners = numThreads;
         state->Learners = new SymSGD*[numThreads];
@@ -288,11 +294,11 @@ float Loss(int instSize, int* instIndices, float* instValues,
 EXPORT_API(void) LearnAll(int totalNumInstances, int* instSizes, int** instIndices, float** instValues,
     float* labels, bool tuneAlpha, float& alpha, float l2Const, float piw, float* weightVector, 
     float& bias, int numFeat, int numPasses, int numThreads, bool tuneNumLocIter, int& numLocIter, float tolerance,
-    bool needShuffle, bool shouldInitialize, SymSGDState* state)
+    bool needShuffle, bool shouldInitialize, SymSGDState* state, ChannelFunc info_print_func = NULL)
 {
     // If this is the first time LearnAll is called, initialize it.
     if (shouldInitialize)
-        InitializeState(totalNumInstances, instSizes, instIndices, instValues, numFeat, tuneNumLocIter, numLocIter, numThreads, tuneAlpha, alpha, l2Const, state);
+        InitializeState(totalNumInstances, instSizes, instIndices, instValues, numFeat, tuneNumLocIter, numLocIter, numThreads, tuneAlpha, alpha, l2Const, state, info_print_func);
     float& weightScaling = state->WeightScaling;
 
     float totalAverageLoss = 0.0f; // Reserved for total loss computation
diff --git a/src/Native/SymSgdNative/SymSgdNative.h b/src/Native/SymSgdNative/SymSgdNative.h
index 48ab3b0a75..2c1df4cfa3 100644
--- a/src/Native/SymSgdNative/SymSgdNative.h
+++ b/src/Native/SymSgdNative/SymSgdNative.h
@@ -142,4 +142,7 @@ struct SymSGDState
     int NumFrequentFeatures;
     int PassIteration;
     float WeightScaling;
-};
\ No newline at end of file
+};
+
+// Logging call back signature for ML.NET
+typedef void(*ChannelFunc)(const char*);
\ No newline at end of file
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer-out.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer-out.txt
similarity index 96%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer-out.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer-out.txt
index e8f77de3b1..9645346379 100644
--- a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer-out.txt
+++ b/test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer-out.txt
@@ -1,9 +1,11 @@
 maml.exe CV tr=SymSGD{nt=1} threads=- norm=No dout=%Output% data=%Data% seed=1
 Not adding a normalizer.
 Data fully loaded into memory.
+Initial learning rate is tuned to 100.000000
 Not training a calibrator because it is not needed.
 Not adding a normalizer.
 Data fully loaded into memory.
+Initial learning rate is tuned to 100.000000
 Not training a calibrator because it is not needed.
 Warning: The predictor produced non-finite prediction values on 8 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable.
 TEST POSITIVE RATIO:	0.3785 (134.0/(134.0+220.0))
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer-rp.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer-rp.txt
similarity index 100%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer-rp.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer-rp.txt
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer.txt
similarity index 100%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-CV-breast-cancer.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-CV-breast-cancer.txt
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
similarity index 97%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
index d27eaf83bd..d8b6a25d1f 100644
--- a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
+++ b/test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
@@ -1,6 +1,7 @@
 maml.exe TrainTest test=%Data% tr=SymSGD{nt=1} norm=No dout=%Output% data=%Data% out=%Output% seed=1
 Not adding a normalizer.
 Data fully loaded into memory.
+Initial learning rate is tuned to 100.000000
 Not training a calibrator because it is not needed.
 Warning: The predictor produced non-finite prediction values on 16 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable.
 TEST POSITIVE RATIO:	0.3499 (239.0/(239.0+444.0))
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt
similarity index 100%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt
similarity index 100%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt
diff --git a/test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer.txt b/test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer.txt
similarity index 100%
rename from test/BaselineOutput/SingleDebug/SymSGD/SymSGD-TrainTest-breast-cancer.txt
rename to test/BaselineOutput/Common/SymSGD/SymSGD-TrainTest-breast-cancer.txt
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-out.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-out.txt
deleted file mode 100644
index e8f77de3b1..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-out.txt
+++ /dev/null
@@ -1,65 +0,0 @@
-maml.exe CV tr=SymSGD{nt=1} threads=- norm=No dout=%Output% data=%Data% seed=1
-Not adding a normalizer.
-Data fully loaded into memory.
-Not training a calibrator because it is not needed.
-Not adding a normalizer.
-Data fully loaded into memory.
-Not training a calibrator because it is not needed.
-Warning: The predictor produced non-finite prediction values on 8 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable.
-TEST POSITIVE RATIO:	0.3785 (134.0/(134.0+220.0))
-Confusion table
-          ||======================
-PREDICTED || positive | negative | Recall
-TRUTH     ||======================
- positive ||      132 |        2 | 0.9851
- negative ||        8 |      212 | 0.9636
-          ||======================
-Precision ||   0.9429 |   0.9907 |
-OVERALL 0/1 ACCURACY: 0.971751
-LOG LOSS/instance:  Infinity
-Test-set entropy (prior Log-Loss/instance): 0.956998
-LOG-LOSS REDUCTION (RIG): -Infinity
-AUC:                0.991045
-Warning: The predictor produced non-finite prediction values on 8 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable.
-TEST POSITIVE RATIO:	0.3191 (105.0/(105.0+224.0))
-Confusion table
-          ||======================
-PREDICTED || positive | negative | Recall
-TRUTH     ||======================
- positive ||       96 |        9 | 0.9143
- negative ||       11 |      213 | 0.9509
-          ||======================
-Precision ||   0.8972 |   0.9595 |
-OVERALL 0/1 ACCURACY: 0.939210
-LOG LOSS/instance:  Infinity
-Test-set entropy (prior Log-Loss/instance): 0.903454
-LOG-LOSS REDUCTION (RIG): -Infinity
-AUC:                0.963435
-
-OVERALL RESULTS
----------------------------------------
-AUC:                0.977240 (0.0138)
-Accuracy:           0.955481 (0.0163)
-Positive precision: 0.920027 (0.0228)
-Positive recall:    0.949680 (0.0354)
-Negative precision: 0.975057 (0.0156)
-Negative recall:    0.957265 (0.0064)
-Log-loss:           Infinity (NaN)
-Log-loss reduction: -Infinity (NaN)
-F1 Score:           0.934582 (0.0289)
-AUPRC:              0.964431 (0.0168)
-
----------------------------------------
-Physical memory usage(MB): %Number%
-Virtual memory usage(MB): %Number%
-%DateTime%	 Time elapsed(s): %Number%
-
---- Progress log ---
-[1] 'Preprocessing' started.
-[1] 'Preprocessing' finished in %Time%.
-[2] 'Training' started.
-[2] 'Training' finished in %Time%.
-[3] 'Preprocessing #2' started.
-[3] 'Preprocessing #2' finished in %Time%.
-[4] 'Training #2' started.
-[4] 'Training #2' finished in %Time%.
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-rp.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-rp.txt
deleted file mode 100644
index cbe85dbf29..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer-rp.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-SymSGD
-AUC	Accuracy	Positive precision	Positive recall	Negative precision	Negative recall	Log-loss	Log-loss reduction	F1 Score	AUPRC	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
-0.97724	0.955481	0.920027	0.94968	0.975057	0.957265	Infinity	-Infinity	0.934582	0.964431	1	SymSGD	%Data%		%Output%	99	0	0	maml.exe CV tr=SymSGD{nt=1} threads=- norm=No dout=%Output% data=%Data% seed=1	/nt:1	
-
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer.txt
deleted file mode 100644
index cc1083e607..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-CV-breast-cancer.txt
+++ /dev/null
@@ -1,700 +0,0 @@
-Instance	Label	Score	Probability	Log-loss	Assigned
-5	1	1021.923	1	0	1
-6	0	101.91272	1	Infinity	1
-8	0	-334.817749	0	0	0
-9	0	-235.957581	0	0	0
-10	0	-272.79837	0	0	0
-11	0	-320.737427	0	0	0
-18	1	647.4429	1	0	1
-20	1	217.233337	1	0	1
-21	1	479.27478	1	0	1
-25	1	140.3844	1	0	1
-28	0	-320.737427	0	0	0
-31	0	-296.864	0	0	0
-32	1	454.251282	1	0	1
-35	0	-320.737427	0	0	0
-37	0	-78.9787	5.011722E-35	0	0
-40	0	?	?	?	0
-41	1	199.0091	1	0	1
-44	1	656.8247	1	0	1
-45	0	-322.804565	0	0	0
-46	1	682.001953	1	0	1
-48	0	-308.837372	0	0	0
-50	1	269.319824	1	0	1
-51	1	55.29657	1	0	1
-52	1	287.521057	1	0	1
-54	1	316.589355	1	0	1
-56	1	913.6865	1	0	1
-60	1	119.077576	1	0	1
-63	1	4.26116943	0.9860904	0.020208151201720485	1
-64	0	-325.252838	0	0	0
-66	0	-287.8332	0	0	0
-68	1	560.21106	1	0	1
-69	0	-288.1764	0	0	0
-70	0	-262.6084	0	0	0
-71	1	377.826416	1	0	1
-72	0	-7.10409546	0.00082105794	0.0011850227709561453	0
-73	1	361.900269	1	0	1
-74	1	308.8277	1	0	1
-76	0	-258.3786	0	0	0
-77	0	-166.195282	0	0	0
-79	0	-349.318481	0	0	0
-82	0	-207.568787	0	0	0
-88	0	-287.8332	0	0	0
-90	0	-301.379425	0	0	0
-91	0	-350.5975	0	0	0
-92	0	-287.8332	0	0	0
-93	0	-325.252838	0	0	0
-95	0	-301.379425	0	0	0
-96	0	-355.1129	0	0	0
-97	0	-283.3178	0	0	0
-98	1	380.50592	1	0	1
-99	1	571.659058	1	0	1
-100	1	51.7908325	1	0	1
-102	0	-265.5418	0	0	0
-104	1	527.381836	1	0	1
-105	1	1.51104736	0.8192164	0.28768354956614323	1
-106	1	975.2739	1	0	1
-108	0	-298.846741	0	0	0
-109	1	582.2739	1	0	1
-111	1	427.5822	1	0	1
-112	1	370.9096	1	0	1
-113	1	805.0089	1	0	1
-115	0	-169.885254	0	0	0
-117	1	521.3834	1	0	1
-120	0	-289.590118	0	0	0
-121	0	-167.273956	0	0	0
-122	1	864.813965	1	0	1
-123	1	263.304382	1	0	1
-125	0	-325.252838	0	0	0
-128	1	277.651428	1	0	1
-129	0	-577.7748	0	0	0
-131	0	-296.864	0	0	0
-132	1	762.661865	1	0	1
-133	0	-303.018982	0	0	0
-137	0	-340.095428	0	0	0
-138	0	-289.415222	0	0	0
-141	0	-344.61084	0	0	0
-144	0	-320.737427	0	0	0
-145	0	?	?	?	0
-147	0	-309.023651	0	0	0
-150	0	-272.79837	0	0	0
-151	1	249.55658	1	0	1
-152	1	884.802856	1	0	1
-154	0	-349.126221	0	0	0
-156	0	-227.212433	0	0	0
-161	0	-274.6302	0	0	0
-164	0	?	?	?	0
-167	1	283.316284	1	0	1
-169	0	-331.047241	0	0	0
-171	0	-301.379425	0	0	0
-173	1	1041.47913	1	0	1
-174	1	612.9641	1	0	1
-176	0	-296.864	0	0	0
-177	1	578.026	1	0	1
-179	1	180.726685	1	0	1
-180	0	-272.79837	0	0	0
-181	0	-349.126221	0	0	0
-183	1	834.9143	1	0	1
-187	1	544.907654	1	0	1
-188	1	709.276855	1	0	1
-189	0	-181.0476	0	0	0
-191	1	457.053833	1	0	1
-192	0	-307.1912	0	0	0
-196	0	384.403748	1	Infinity	1
-198	0	-349.126221	0	0	0
-199	0	-316.222015	0	0	0
-201	1	688.0464	1	0	1
-202	0	-301.379425	0	0	0
-204	0	-301.379425	0	0	0
-205	1	1028.11108	1	0	1
-206	1	667.4751	1	0	1
-207	0	-272.79837	0	0	0
-209	0	-254.736725	0	0	0
-210	1	1086.058	1	0	1
-211	1	925.716064	1	0	1
-212	0	-301.379425	0	0	0
-216	0	-325.252838	0	0	0
-218	1	734.4236	1	0	1
-219	0	-234.219574	0	0	0
-223	1	539.3552	1	0	1
-226	1	715.6188	1	0	1
-228	0	-272.79837	0	0	0
-233	1	355.085876	1	0	1
-237	1	459.5498	1	0	1
-239	1	451.899231	1	0	1
-240	0	-212.39624	0	0	0
-241	0	-284.771729	0	0	0
-242	0	-296.864	0	0	0
-244	0	-301.379425	0	0	0
-246	1	1044.54126	1	0	1
-247	1	409.237671	1	0	1
-248	0	-221.818024	0	0	0
-249	0	?	?	?	0
-250	0	-251.085815	0	0	0
-252	0	307.68988	1	Infinity	1
-254	1	728.536743	1	0	1
-257	0	-316.222015	0	0	0
-258	0	-292.348633	0	0	0
-259	0	572.462158	1	Infinity	1
-260	1	531.1308	1	0	1
-262	1	912.760254	1	0	1
-267	1	408.017578	1	0	1
-268	1	736.6128	1	0	1
-269	0	-301.379425	0	0	0
-271	0	-283.3178	0	0	0
-272	1	408.017578	1	0	1
-275	0	?	?	?	0
-276	0	-316.222015	0	0	0
-277	0	-325.252838	0	0	0
-278	0	-301.379425	0	0	0
-279	1	438.823853	1	0	1
-280	0	-292.348633	0	0	0
-283	1	555.4083	1	0	1
-284	1	445.768616	1	0	1
-285	1	1001.10779	1	0	1
-288	1	54.43335	1	0	1
-290	0	-349.126221	0	0	0
-291	0	-301.379425	0	0	0
-293	1	386.6949	1	0	1
-296	0	139.220642	1	Infinity	1
-297	0	?	?	?	0
-299	1	227.814941	1	0	1
-300	1	407.6792	1	0	1
-301	0	-301.379425	0	0	0
-303	0	-301.379425	0	0	0
-304	1	265.7011	1	0	1
-308	1	588.7855	1	0	1
-309	0	-65.36084	4.11289773E-29	0	0
-311	0	-349.126221	0	0	0
-312	1	-94.50748	9.035572E-42	136.34536397147204	0
-314	0	-296.671753	0	0	0
-316	1	466.170166	1	0	1
-317	1	736.0132	1	0	1
-319	0	161.598083	1	Infinity	1
-321	0	?	?	?	0
-323	1	388.03302	1	0	1
-327	0	-325.252838	0	0	0
-328	1	584.984	1	0	1
-329	1	459.499573	1	0	1
-331	0	-280.869537	0	0	0
-332	0	-206.44986	0	0	0
-333	1	399.285278	1	0	1
-336	1	425.5838	1	0	1
-338	0	-296.671753	0	0	0
-343	0	-349.126221	0	0	0
-344	1	473.410339	1	0	1
-346	0	-245.701279	0	0	0
-347	0	-294.1391	0	0	0
-348	1	-152.083282	0	Infinity	0
-349	1	237.0896	1	0	1
-350	0	-352.0688	0	0	0
-352	0	39.6635437	1	Infinity	1
-353	1	660.963257	1	0	1
-354	0	-325.252838	0	0	0
-355	0	-327.084656	0	0	0
-358	1	590.6726	1	0	1
-360	1	943.9149	1	0	1
-361	1	683.516	1	0	1
-366	1	969.8589	1	0	1
-368	0	-304.543427	0	0	0
-370	0	-166.498291	0	0	0
-371	0	-304.543427	0	0	0
-373	0	-317.6933	0	0	0
-376	0	-325.252838	0	0	0
-377	0	-296.671753	0	0	0
-378	0	-363.106323	0	0	0
-379	0	-122.1077	0	0	0
-381	1	651.466431	1	0	1
-383	0	-344.61084	0	0	0
-384	0	-344.61084	0	0	0
-387	0	-126.32016	0	0	0
-388	0	-307.5344	0	0	0
-389	0	-277.759	0	0	0
-391	1	947.5735	1	0	1
-392	0	-316.222015	0	0	0
-395	0	-316.222015	0	0	0
-396	0	-292.348633	0	0	0
-398	0	-227.269958	0	0	0
-399	0	-228.794418	0	0	0
-404	0	-281.178345	0	0	0
-406	0	-213.6662	0	0	0
-409	0	-293.9306	0	0	0
-413	0	-261.0264	0	0	0
-414	1	646.5259	1	0	1
-415	0	-57.21808	1.41417837E-25	0	0
-416	1	582.0941	1	0	1
-418	0	-135.317932	0	0	0
-419	0	-278.856018	0	0	0
-422	0	-65.34631	4.17307942E-29	0	0
-423	0	-262.6084	0	0	0
-428	0	-325.252838	0	0	0
-429	0	-320.737427	0	0	0
-430	0	-160.551788	0	0	0
-434	0	683.9347	1	Infinity	1
-436	1	575.846558	1	0	1
-439	0	-331.0646	0	0	0
-440	1	429.814148	1	0	1
-441	0	-130.0997	0	0	0
-442	0	-280.509918	0	0	0
-449	1	803.155	1	0	1
-450	0	-304.1297	0	0	0
-451	0	-331.0646	0	0	0
-452	0	-361.0996	0	0	0
-453	1	566.1138	1	0	1
-454	0	-221.693909	0	0	0
-455	1	16.0523376	0.9999999	1.7198266111377426E-07	1
-456	1	636.5864	1	0	1
-457	1	647.529541	1	0	1
-464	0	-335.580017	0	0	0
-465	1	677.602661	1	0	1
-466	1	787.547852	1	0	1
-467	1	679.4784	1	0	1
-474	0	-331.0646	0	0	0
-480	0	-302.483521	0	0	0
-482	1	781.156738	1	0	1
-483	1	878.3706	1	0	1
-484	0	-308.7732	0	0	0
-487	1	945.2323	1	0	1
-489	1	24.710083	1	0	1
-492	0	-283.125549	0	0	0
-493	1	920.3756	1	0	1
-495	0	-287.64093	0	0	0
-497	0	-259.831	0	0	0
-501	0	-311.7066	0	0	0
-502	0	-322.208679	0	0	0
-504	0	-349.126221	0	0	0
-507	0	-214.695511	0	0	0
-510	0	-349.126221	0	0	0
-513	0	-287.64093	0	0	0
-514	1	754.5259	1	0	1
-517	0	-296.671753	0	0	0
-519	1	791.0669	1	0	1
-520	0	-377.7073	0	0	0
-521	0	-364.161072	0	0	0
-522	1	296.72522	1	0	1
-523	1	465.930176	1	0	1
-527	0	-287.8332	0	0	0
-528	0	-292.468475	0	0	0
-529	0	-283.125549	0	0	0
-531	0	-213.6662	0	0	0
-532	0	-272.79837	0	0	0
-533	0	-316.222015	0	0	0
-534	0	-320.737427	0	0	0
-535	0	-267.2987	0	0	0
-538	0	-311.7066	0	0	0
-539	0	-302.675781	0	0	0
-540	0	-262.380951	0	0	0
-541	0	-340.095428	0	0	0
-544	0	-286.656677	0	0	0
-546	1	1069.49353	1	0	1
-547	0	-316.029755	0	0	0
-548	0	-311.514343	0	0	0
-549	1	549.9683	1	0	1
-557	0	-352.0688	0	0	0
-558	0	-320.737427	0	0	0
-559	0	-307.1912	0	0	0
-560	0	-283.3178	0	0	0
-561	0	-283.3178	0	0	0
-563	0	-316.222015	0	0	0
-565	1	880.770142	1	0	1
-566	0	-270.05722	0	0	0
-569	1	740.958	1	0	1
-577	0	-325.252838	0	0	0
-578	0	-325.252838	0	0	0
-581	1	785.143066	1	0	1
-582	1	986.6736	1	0	1
-584	0	-412.1561	0	0	0
-586	1	1092.98242	1	0	1
-590	1	617.891	1	0	1
-593	0	-308.7732	0	0	0
-594	1	774.4863	1	0	1
-600	0	-316.222015	0	0	0
-602	0	-311.7066	0	0	0
-604	1	256.321228	1	0	1
-606	0	-346.0821	0	0	0
-607	0	-349.126221	0	0	0
-609	0	-331.0646	0	0	0
-612	1	1115.01685	1	0	1
-613	0	-169.23941	0	0	0
-614	0	-292.156342	0	0	0
-617	0	?	?	?	0
-618	0	-311.7066	0	0	0
-619	0	-307.1912	0	0	0
-621	0	-15.8763733	1.27344038E-07	1.8371862313930792E-07	0
-622	0	-296.873169	0	0	0
-624	0	-289.1122	0	0	0
-627	0	-165.369843	0	0	0
-629	0	-335.580017	0	0	0
-633	1	390.5418	1	0	1
-634	0	-340.095428	0	0	0
-638	0	-335.580017	0	0	0
-639	0	-352.0688	0	0	0
-641	0	-316.222015	0	0	0
-642	0	-316.222015	0	0	0
-644	0	-344.61084	0	0	0
-645	0	-316.222015	0	0	0
-649	0	-316.222015	0	0	0
-652	0	-293.988159	0	0	0
-653	0	-311.7066	0	0	0
-654	0	-292.348633	0	0	0
-656	0	-307.1912	0	0	0
-657	0	-72.37637	3.69266974E-32	0	0
-660	0	-325.252838	0	0	0
-661	0	-287.8332	0	0	0
-665	0	-349.126221	0	0	0
-668	1	342.943665	1	0	1
-670	1	812.6575	1	0	1
-678	0	-349.126221	0	0	0
-679	0	-344.61084	0	0	0
-680	1	1145.28394	1	0	1
-681	1	969.3158	1	0	1
-682	0	-270.114777	0	0	0
-683	0	-349.126221	0	0	0
-685	0	-349.126221	0	0	0
-688	0	-335.580017	0	0	0
-689	0	-331.988342	0	0	0
-691	1	742.5989	1	0	1
-692	0	-340.095428	0	0	0
-693	0	-313.773743	0	0	0
-694	0	-323.866241	0	0	0
-696	1	765.3994	1	0	1
-697	1	661.339233	1	0	1
-698	1	685.243042	1	0	1
-0	0	-655.8448	0	0	0
-1	0	352.095367	1	Infinity	1
-2	0	-559.3646	0	0	0
-3	0	1740.70276	1	Infinity	1
-4	0	-568.0029	0	0	0
-7	0	-495.5454	0	0	0
-12	1	241.3157	1	0	1
-13	0	-462.88446	0	0	0
-14	1	942.8955	1	0	1
-15	1	16.80188	0.99999994	8.5991327994145617E-08	1
-16	0	-553.6872	0	0	0
-17	0	-643.057739	0	0	0
-19	0	-668.631836	0	0	0
-22	0	-540.900146	0	0	0
-23	1	?	?	?	0
-24	0	-604.696655	0	0	0
-26	0	-270.657074	0	0	0
-27	0	-566.4742	0	0	0
-29	0	-182.078979	0	0	0
-30	0	-411.0862	0	0	0
-33	0	-579.956238	0	0	0
-34	0	-418.961884	0	0	0
-36	1	1591.25452	1	0	1
-38	1	1299.106	1	0	1
-39	1	138.435211	1	0	1
-42	1	1330.6217	1	0	1
-43	1	-316.820679	0	Infinity	0
-47	0	-515.32605	0	0	0
-49	1	1846.631	1	0	1
-53	1	-274.015076	0	Infinity	0
-55	1	1099.324	1	0	1
-57	1	-608.199	0	Infinity	0
-58	1	-331.3812	0	Infinity	0
-59	1	272.168976	1	0	1
-61	0	-444.419952	0	0	0
-62	1	1275.43091	1	0	1
-65	1	-452.4966	0	Infinity	0
-67	1	413.874054	1	0	1
-75	0	-419.5797	0	0	0
-78	0	-488.458527	0	0	0
-80	0	-582.7846	0	0	0
-81	0	-516.1598	0	0	0
-83	0	-916.846863	0	0	0
-84	1	897.471436	1	0	1
-85	1	746.382935	1	0	1
-86	1	635.3207	1	0	1
-87	1	1356.65088	1	0	1
-89	0	-620.399658	0	0	0
-94	0	-617.483643	0	0	0
-101	1	841.3391	1	0	1
-103	1	-1044.82617	0	Infinity	0
-107	1	1459.15247	1	0	1
-110	0	-263.1876	0	0	0
-114	0	-85.66205	6.272564E-38	0	0
-116	0	-16.9219666	4.47593E-08	6.4574021972779571E-08	0
-118	0	-543.7712	0	0	0
-119	0	-418.9355	0	0	0
-124	1	404.972565	1	0	1
-126	1	567.644653	1	0	1
-127	0	-630.2707	0	0	0
-130	0	-322.597717	0	0	0
-134	0	-670.7141	0	0	0
-135	0	-421.652374	0	0	0
-136	0	-553.6872	0	0	0
-139	0	?	?	?	0
-140	0	-451.529541	0	0	0
-142	1	488.315338	1	0	1
-143	0	-142.331116	0	0	0
-146	1	204.013458	1	0	1
-148	0	-941.3387	0	0	0
-149	1	752.705933	1	0	1
-153	0	-322.504425	0	0	0
-155	1	1089.60254	1	0	1
-157	0	-617.483643	0	0	0
-158	0	?	?	?	0
-159	1	1923.50525	1	0	1
-160	1	1494.5094	1	0	1
-162	0	-630.2707	0	0	0
-163	0	-310.768677	0	0	0
-165	0	-490.5085	0	0	0
-166	1	1570.026	1	0	1
-168	0	-630.2707	0	0	0
-170	0	-451.529541	0	0	0
-172	0	-515.32605	0	0	0
-175	1	1194.714	1	0	1
-178	0	-643.057739	0	0	0
-182	0	-668.631836	0	0	0
-184	1	1070.428	1	0	1
-185	0	-487.669739	0	0	0
-186	1	1482.4314	1	0	1
-190	1	2258.611	1	0	1
-193	0	-604.696655	0	0	0
-194	0	-630.2707	0	0	0
-195	0	-643.057739	0	0	0
-197	0	-543.2626	0	0	0
-200	1	1415.398	1	0	1
-203	0	-655.8448	0	0	0
-208	0	-474.8827	0	0	0
-213	1	2248.68115	1	0	1
-214	1	2270.2356	1	0	1
-215	1	1645.00281	1	0	1
-217	0	-604.696655	0	0	0
-220	0	-567.16925	0	0	0
-221	1	221.44339	1	0	1
-222	1	-65.19409	4.85921E-29	94.055192962286199	0
-224	1	1289.00232	1	0	1
-225	0	-515.32605	0	0	0
-227	1	1841.02966	1	0	1
-229	1	1514.78943	1	0	1
-230	1	930.4363	1	0	1
-231	1	1347.16248	1	0	1
-232	0	355.92923	1	Infinity	1
-234	0	50.92752	1	Infinity	1
-235	0	?	?	?	0
-236	1	1204.77161	1	0	1
-238	1	2421.62354	1	0	1
-243	0	-499.813416	0	0	0
-245	0	-547.411255	0	0	0
-251	1	963.113037	1	0	1
-253	1	1330.6217	1	0	1
-255	1	1480.26221	1	0	1
-256	0	-451.529541	0	0	0
-261	1	1146.05249	1	0	1
-263	1	671.7992	1	0	1
-264	1	168.765533	1	0	1
-265	0	-208.3869	0	0	0
-266	1	1778.757	1	0	1
-270	1	1587.86926	1	0	1
-273	1	71.0156555	1	0	1
-274	0	-548.627563	0	0	0
-281	0	-579.956238	0	0	0
-282	1	1006.21533	1	0	1
-286	1	1933.38391	1	0	1
-287	0	-670.7141	0	0	0
-289	1	1586.01746	1	0	1
-292	1	?	?	?	0
-294	0	?	?	?	0
-295	1	906.5393	1	0	1
-298	0	-764.4775	0	0	0
-302	1	1682.504	1	0	1
-305	1	1757.95251	1	0	1
-306	0	-604.696655	0	0	0
-307	0	-604.696655	0	0	0
-310	0	-657.927	0	0	0
-313	0	-425.9555	0	0	0
-315	0	?	?	?	0
-318	0	-994.1385	0	0	0
-320	1	276.6519	1	0	1
-322	0	-630.2707	0	0	0
-324	0	-604.696655	0	0	0
-325	0	-115.24649	0	0	0
-326	1	-15.4368286	1.97637988E-07	22.270636392005638	0
-330	1	698.895264	1	0	1
-334	1	1535.56677	1	0	1
-335	0	-425.9555	0	0	0
-337	0	-604.696655	0	0	0
-339	1	1217.44373	1	0	1
-340	1	493.843048	1	0	1
-341	0	-604.696655	0	0	0
-342	0	-438.7425	0	0	0
-345	0	-425.9555	0	0	0
-351	0	-617.483643	0	0	0
-356	1	-20.48114	1.27395428E-09	29.54803935647886	0
-357	1	1071.41785	1	0	1
-359	1	718.953	1	0	1
-362	0	-396.3484	0	0	0
-363	0	412.754547	1	Infinity	1
-364	0	-617.483643	0	0	0
-365	0	-528.1131	0	0	0
-367	1	1990.46619	1	0	1
-369	0	-141.63562	0	0	0
-372	0	-431.748932	0	0	0
-374	0	-418.961884	0	0	0
-375	0	-425.9555	0	0	0
-380	0	-425.9555	0	0	0
-382	0	-248.732788	0	0	0
-385	0	-124.032074	0	0	0
-386	1	986.1454	1	0	1
-390	0	-477.798676	0	0	0
-393	0	-296.141541	0	0	0
-394	0	-131.020447	0	0	0
-397	0	-464.3166	0	0	0
-400	1	1161.08484	1	0	1
-401	0	-451.529541	0	0	0
-402	0	-41.73947	7.460671E-19	0	0
-403	0	-238.811249	0	0	0
-405	0	-515.32605	0	0	0
-407	0	-515.32605	0	0	0
-408	0	-106.253662	0	0	0
-410	0	-515.32605	0	0	0
-411	0	?	?	?	0
-412	1	1142.7179	1	0	1
-417	0	-515.32605	0	0	0
-420	0	-151.036346	0	0	0
-421	1	1101.12451	1	0	1
-424	0	-451.529541	0	0	0
-425	1	1700.89758	1	0	1
-426	0	413.445831	1	Infinity	1
-427	1	1406.78931	1	0	1
-431	0	-758.7747	0	0	0
-432	0	-484.831055	0	0	0
-433	0	-114.107391	0	0	0
-435	1	1690.2677	1	0	1
-437	0	-464.3166	0	0	0
-438	0	-145.385315	0	0	0
-443	0	-355.049377	0	0	0
-444	0	-508.651184	0	0	0
-445	0	-438.7425	0	0	0
-446	0	-425.9555	0	0	0
-447	0	-477.103638	0	0	0
-448	0	-296.141541	0	0	0
-458	0	-355.1654	0	0	0
-459	0	-233.227112	0	0	0
-460	0	-402.048828	0	0	0
-461	0	-167.905182	0	0	0
-462	0	-414.835876	0	0	0
-463	0	-382.673462	0	0	0
-468	0	-464.3166	0	0	0
-469	0	-393.387817	0	0	0
-470	0	-411.0862	0	0	0
-471	0	-414.835876	0	0	0
-472	0	-360.076721	0	0	0
-473	0	-464.3166	0	0	0
-475	0	-451.529541	0	0	0
-476	0	-342.378357	0	0	0
-477	0	-464.3166	0	0	0
-478	0	-336.6745	0	0	0
-479	1	1756.93933	1	0	1
-481	0	38.2750549	1	Infinity	1
-485	0	-79.2746	3.728034E-35	0	0
-486	0	-411.0862	0	0	0
-488	1	1032.36389	1	0	1
-490	0	-425.9555	0	0	0
-491	1	1566.10583	1	0	1
-494	0	-82.79285	1.10541041E-36	0	0
-496	0	-296.141541	0	0	0
-498	0	-553.6872	0	0	0
-499	0	-553.6872	0	0	0
-500	0	-668.631836	0	0	0
-503	0	-643.057739	0	0	0
-505	0	-170.671326	0	0	0
-506	1	1927.56653	1	0	1
-508	0	-477.103638	0	0	0
-509	0	-438.7425	0	0	0
-511	0	-566.4742	0	0	0
-512	0	-477.103638	0	0	0
-515	1	1918.68909	1	0	1
-516	0	-296.141541	0	0	0
-518	0	-292.0639	0	0	0
-524	0	-540.900146	0	0	0
-525	0	-414.002136	0	0	0
-526	0	-464.3166	0	0	0
-530	1	944.298462	1	0	1
-536	0	-655.8448	0	0	0
-537	0	-533.9065	0	0	0
-542	0	-196.245392	0	0	0
-543	0	-553.6872	0	0	0
-545	0	-566.4742	0	0	0
-550	0	-540.900146	0	0	0
-551	0	-604.696655	0	0	0
-552	0	-338.1034	0	0	0
-553	0	240.835052	1	Infinity	1
-554	0	-451.529541	0	0	0
-555	0	119.931915	1	Infinity	1
-556	0	-136.7655	0	0	0
-562	0	-604.696655	0	0	0
-564	0	-561.4146	0	0	0
-567	0	-411.875	0	0	0
-568	1	595.410767	1	0	1
-570	1	542.114868	1	0	1
-571	1	1942.85852	1	0	1
-572	0	-540.900146	0	0	0
-573	0	-515.32605	0	0	0
-574	1	1153.99219	1	0	1
-575	0	-533.9065	0	0	0
-576	0	-566.4742	0	0	0
-579	0	-604.696655	0	0	0
-580	0	-444.53595	0	0	0
-583	0	-451.529541	0	0	0
-585	0	-425.9555	0	0	0
-587	0	-484.831055	0	0	0
-588	1	962.983643	1	0	1
-589	0	-477.103638	0	0	0
-591	1	1292.75977	1	0	1
-592	1	495.973053	1	0	1
-595	0	-566.4742	0	0	0
-596	0	-431.748932	0	0	0
-597	0	-411.968262	0	0	0
-598	0	-540.900146	0	0	0
-599	0	158.954132	1	Infinity	1
-601	0	-385.512115	0	0	0
-603	1	666.133057	1	0	1
-605	1	1270.70056	1	0	1
-608	1	1017.25757	1	0	1
-610	1	401.661346	1	0	1
-611	1	1604.39221	1	0	1
-615	0	-309.810669	0	0	0
-616	0	-540.900146	0	0	0
-620	0	-540.900146	0	0	0
-623	0	-425.9555	0	0	0
-625	0	-124.748688	0	0	0
-626	1	592.070435	1	0	1
-628	0	-438.7425	0	0	0
-630	0	-105.585052	0	0	0
-631	0	-566.4742	0	0	0
-632	0	-425.9555	0	0	0
-635	0	-85.71478	5.95035441E-38	0	0
-636	1	933.872437	1	0	1
-637	0	98.51761	1	Infinity	1
-640	0	-389.261841	0	0	0
-643	0	-425.9555	0	0	0
-646	0	-163.588135	0	0	0
-647	0	-350.9007	0	0	0
-648	1	893.8468	1	0	1
-650	0	-331.097778	0	0	0
-651	0	-299.842163	0	0	0
-655	0	-540.900146	0	0	0
-658	1	1548.16321	1	0	1
-659	0	-425.9555	0	0	0
-662	0	-271.4496	0	0	0
-663	0	-271.4496	0	0	0
-664	0	-465.845337	0	0	0
-666	0	-209.536652	0	0	0
-667	0	-630.2707	0	0	0
-669	1	2239.64185	1	0	1
-671	0	-452.314178	0	0	0
-672	0	-617.483643	0	0	0
-673	0	-204.121124	0	0	0
-674	0	-515.32605	0	0	0
-675	0	-98.50183	1.667545E-43	0	0
-676	0	-393.387817	0	0	0
-677	0	-477.103638	0	0	0
-684	0	-425.9555	0	0	0
-686	0	-425.9555	0	0	0
-687	0	-377.613831	0	0	0
-690	0	-350.9007	0	0	0
-695	0	-438.7425	0	0	0
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
deleted file mode 100644
index d27eaf83bd..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-out.txt
+++ /dev/null
@@ -1,45 +0,0 @@
-maml.exe TrainTest test=%Data% tr=SymSGD{nt=1} norm=No dout=%Output% data=%Data% out=%Output% seed=1
-Not adding a normalizer.
-Data fully loaded into memory.
-Not training a calibrator because it is not needed.
-Warning: The predictor produced non-finite prediction values on 16 instances during testing. Possible causes: abnormal data or the predictor is numerically unstable.
-TEST POSITIVE RATIO:	0.3499 (239.0/(239.0+444.0))
-Confusion table
-          ||======================
-PREDICTED || positive | negative | Recall
-TRUTH     ||======================
- positive ||      152 |       87 | 0.6360
- negative ||        2 |      442 | 0.9955
-          ||======================
-Precision ||   0.9870 |   0.8355 |
-OVERALL 0/1 ACCURACY: 0.869693
-LOG LOSS/instance:  Infinity
-Test-set entropy (prior Log-Loss/instance): 0.934003
-LOG-LOSS REDUCTION (RIG): -Infinity
-AUC:                0.984941
-
-OVERALL RESULTS
----------------------------------------
-AUC:                0.984941 (0.0000)
-Accuracy:           0.869693 (0.0000)
-Positive precision: 0.987013 (0.0000)
-Positive recall:    0.635983 (0.0000)
-Negative precision: 0.835539 (0.0000)
-Negative recall:    0.995495 (0.0000)
-Log-loss:           Infinity (0.0000)
-Log-loss reduction: -Infinity (0.0000)
-F1 Score:           0.773537 (0.0000)
-AUPRC:              0.977633 (0.0000)
-
----------------------------------------
-Physical memory usage(MB): %Number%
-Virtual memory usage(MB): %Number%
-%DateTime%	 Time elapsed(s): %Number%
-
---- Progress log ---
-[1] 'Preprocessing' started.
-[1] 'Preprocessing' finished in %Time%.
-[2] 'Training' started.
-[2] 'Training' finished in %Time%.
-[3] 'Saving model' started.
-[3] 'Saving model' finished in %Time%.
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt
deleted file mode 100644
index c056310ab0..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-rp.txt
+++ /dev/null
@@ -1,4 +0,0 @@
-SymSGD
-AUC	Accuracy	Positive precision	Positive recall	Negative precision	Negative recall	Log-loss	Log-loss reduction	F1 Score	AUPRC	/nt	Learner Name	Train Dataset	Test Dataset	Results File	Run Time	Physical Memory	Virtual Memory	Command Line	Settings	
-0.984941	0.869693	0.987013	0.635983	0.835539	0.995495	Infinity	-Infinity	0.773537	0.977633	1	SymSGD	%Data%	%Data%	%Output%	99	0	0	maml.exe TrainTest test=%Data% tr=SymSGD{nt=1} norm=No dout=%Output% data=%Data% out=%Output% seed=1	/nt:1	
-
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt
deleted file mode 100644
index 8fb0a3fe22..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer-summary.txt
+++ /dev/null
@@ -1,12 +0,0 @@
-Linear Binary Classification Predictor non-zero weights
-
-(Bias)	-448.1
-f1	49.29393
-f4	-25.15009
-f5	23.68305
-f3	16.76877
-f7	13.76585
-f6	-6.658058
-f8	4.843107
-f2	-3.424153
-f0	-0.3852913
diff --git a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer.txt b/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer.txt
deleted file mode 100644
index f3130d53ec..0000000000
--- a/test/BaselineOutput/SingleRelease/SymSGD/SymSGD-TrainTest-breast-cancer.txt
+++ /dev/null
@@ -1,700 +0,0 @@
-Instance	Label	Score	Probability	Log-loss	Assigned
-0	0	-415.3703	0	0	0
-1	0	-109.523041	0	0	0
-2	0	-390.916656	0	0	0
-3	0	33.8270569	1	Infinity	1
-4	0	-381.447449	0	0	0
-5	1	243.726929	1	0	1
-6	0	-200.681656	0	0	0
-7	0	-417.63858	0	0	0
-8	0	-381.525879	0	0	0
-9	0	-359.03302	0	0	0
-10	0	-388.679047	0	0	0
-11	0	-407.556366	0	0	0
-12	1	-208.0876	0	Infinity	0
-13	0	-366.463	0	0	0
-14	1	136.450256	1	0	1
-15	1	-314.800262	0	Infinity	0
-16	0	-408.326935	0	0	0
-17	0	-414.985	0	0	0
-18	1	102.798035	1	0	1
-19	0	-415.755585	0	0	0
-20	1	10.1497192	0.9999609	5.6411412351548271E-05	1
-21	1	-61.521698	1.91190378E-27	88.757048641689195	0
-22	0	-407.94165	0	0	0
-23	1	?	?	?	0
-24	0	-413.829132	0	0	0
-25	1	-111.690765	0	Infinity	0
-26	0	-333.49762	0	0	0
-27	0	-408.712219	0	0	0
-28	0	-407.556366	0	0	0
-29	0	-407.361328	0	0	0
-30	0	-382.791565	0	0	0
-31	0	-414.214417	0	0	0
-32	1	-140.35733	0	Infinity	0
-33	0	-397.445648	0	0	0
-34	0	-411.365784	0	0	0
-35	0	-407.556366	0	0	0
-36	1	89.1488	1	0	1
-37	0	-367.9438	0	0	0
-38	1	125.049805	1	0	1
-39	1	-120.420319	0	Infinity	0
-40	0	?	?	?	0
-41	1	-214.114883	0	Infinity	0
-42	1	86.67383	1	0	1
-43	1	-299.954132	0	Infinity	0
-44	1	-14.4605713	5.246304E-07	20.86219519410675	0
-45	0	-402.327942	0	0	0
-46	1	139.792358	1	0	1
-47	0	-407.171082	0	0	0
-48	0	-381.447449	0	0	0
-49	1	141.825745	1	0	1
-50	1	-170.3082	0	Infinity	0
-51	1	-160.977692	0	Infinity	0
-52	1	-127.401	0	Infinity	0
-53	1	-119.971008	0	Infinity	0
-54	1	-161.725189	0	Infinity	0
-55	1	-41.1490173	1.34650766E-18	59.365483272233966	0
-56	1	199.693787	1	0	1
-57	1	-410.444183	0	Infinity	0
-58	1	-273.693665	0	Infinity	0
-59	1	-206.296631	0	Infinity	0
-60	1	-123.953339	0	Infinity	0
-61	0	-383.488	0	0	0
-62	1	-11.9711	6.324332E-06	17.270655479328113	0
-63	1	-269.080566	0	Infinity	0
-64	0	-407.171082	0	0	0
-65	1	-209.844543	0	Infinity	0
-66	0	-414.985	0	0	0
-67	1	-161.339172	0	Infinity	0
-68	1	-58.4673157	4.05478141E-26	84.350506323497086	0
-69	0	-400.063263	0	0	0
-70	0	-415.560547	0	0	0
-71	1	77.64612	1	0	1
-72	0	-318.187164	0	0	0
-73	1	70.44263	1	0	1
-74	1	-111.748413	0	Infinity	0
-75	0	-386.462433	0	0	0
-76	0	-417.4435	0	0	0
-77	0	-293.3556	0	0	0
-78	0	-367.233582	0	0	0
-79	0	-432.706451	0	0	0
-80	0	-369.826782	0	0	0
-81	0	-391.558167	0	0	0
-82	0	-366.076355	0	0	0
-83	0	-417.5489	0	0	0
-84	1	44.29547	1	0	1
-85	1	41.82538	1	0	1
-86	1	-157.855713	0	Infinity	0
-87	1	122.36322	1	0	1
-88	0	-414.985	0	0	0
-89	0	-415.937683	0	0	0
-90	0	-413.829132	0	0	0
-91	0	-384.514832	0	0	0
-92	0	-414.985	0	0	0
-93	0	-407.171082	0	0	0
-94	0	-414.214417	0	0	0
-95	0	-413.829132	0	0	0
-96	0	-384.129547	0	0	0
-97	0	-415.3703	0	0	0
-98	1	-103.478882	1.401298E-45	149	0
-99	1	150.554138	1	0	1
-100	1	-310.138184	0	Infinity	0
-101	1	-119.139008	0	Infinity	0
-102	0	-418.409149	0	0	0
-103	1	-453.947021	0	Infinity	0
-104	1	42.2218933	1	0	1
-105	1	-212.478668	0	Infinity	0
-106	1	319.402039	1	0	1
-107	1	91.11633	1	0	1
-108	0	-379.639343	0	0	0
-109	1	65.18329	1	0	1
-110	0	-255.730743	0	0	0
-111	1	-32.7773132	5.820948E-15	47.287667279651664	0
-112	1	49.09488	1	0	1
-113	1	-39.6409	6.08381538E-18	57.189729333347941	0
-114	0	-272.0699	0	0	0
-115	0	-305.7808	0	0	0
-116	0	-287.3377	0	0	0
-117	1	144.5932	1	0	1
-118	0	-403.447083	0	0	0
-119	0	-341.6227	0	0	0
-120	0	-400.4845	0	0	0
-121	0	-342.008	0	0	0
-122	1	48.14859	1	0	1
-123	1	-254.01651	0	Infinity	0
-124	1	-127.346558	0	Infinity	0
-125	0	-407.171082	0	0	0
-126	1	85.45001	1	0	1
-127	0	-414.5997	0	0	0
-128	1	-56.6429138	2.51359385E-25	81.718450817485731	0
-129	0	-601.7137	0	0	0
-130	0	-415.560547	0	0	0
-131	0	-414.214417	0	0	0
-132	1	295.987366	1	0	1
-133	0	-394.175781	0	0	0
-134	0	-433.091736	0	0	0
-135	0	-364.155518	0	0	0
-136	0	-408.326935	0	0	0
-137	0	-401.2836	0	0	0
-138	0	-411.7511	0	0	0
-139	0	?	?	?	0
-140	0	-401.2836	0	0	0
-141	0	-400.898315	0	0	0
-142	1	-108.134125	0	Infinity	0
-143	0	-305.7808	0	0	0
-144	0	-407.556366	0	0	0
-145	0	?	?	?	0
-146	1	-205.1228	0	Infinity	0
-147	0	-408.638123	0	0	0
-148	0	-448.917847	0	0	0
-149	1	69.0268555	1	0	1
-150	0	-388.679047	0	0	0
-151	1	-226.9046	0	Infinity	0
-152	1	221.257812	1	0	1
-153	0	-354.3028	0	0	0
-154	0	-400.513	0	0	0
-155	1	39.9500122	1	0	1
-156	0	-361.30127	0	0	0
-157	0	-414.214417	0	0	0
-158	0	?	?	?	0
-159	1	214.183228	1	0	1
-160	1	120.047485	1	0	1
-161	0	-401.219147	0	0	0
-162	0	-414.5997	0	0	0
-163	0	-282.1694	0	0	0
-164	0	?	?	?	0
-165	0	-377.536072	0	0	0
-166	1	123.761658	1	0	1
-167	1	-9.15014648	0.000106192965	13.201024182527696	0
-168	0	-414.5997	0	0	0
-169	0	-358.594147	0	0	0
-170	0	-401.2836	0	0	0
-171	0	-413.829132	0	0	0
-172	0	-407.171082	0	0	0
-173	1	316.5832	1	0	1
-174	1	34.576416	1	0	1
-175	1	90.98065	1	0	1
-176	0	-414.214417	0	0	0
-177	1	0.357513428	0.5884384	0.76503671898226377	1
-178	0	-414.985	0	0	0
-179	1	-177.546082	0	Infinity	0
-180	0	-388.679047	0	0	0
-181	0	-400.513	0	0	0
-182	0	-415.755585	0	0	0
-183	1	230.525391	1	0	1
-184	1	61.9541	1	0	1
-185	0	-389.064331	0	0	0
-186	1	30.8129272	1	0	1
-187	1	125.775085	1	0	1
-188	1	244.60907	1	0	1
-189	0	-371.383484	0	0	0
-190	1	275.354	1	0	1
-191	1	40.0039978	1	0	1
-192	0	-408.712219	0	0	0
-193	0	-413.829132	0	0	0
-194	0	-414.5997	0	0	0
-195	0	-414.985	0	0	0
-196	0	-45.47174	1.785969E-20	0	0
-197	0	-365.063965	0	0	0
-198	0	-400.513	0	0	0
-199	0	-407.94165	0	0	0
-200	1	142.494385	1	0	1
-201	1	-67.245575	6.24622866E-30	97.014857463075344	0
-202	0	-413.829132	0	0	0
-203	0	-415.3703	0	0	0
-204	0	-413.829132	0	0	0
-205	1	360.787842	1	0	1
-206	1	56.5380859	1	0	1
-207	0	-388.679047	0	0	0
-208	0	-388.679047	0	0	0
-209	0	-390.220184	0	0	0
-210	1	399.735962	1	0	1
-211	1	291.975525	1	0	1
-212	0	-413.829132	0	0	0
-213	1	345.636963	1	0	1
-214	1	356.6704	1	0	1
-215	1	90.58252	1	0	1
-216	0	-407.171082	0	0	0
-217	0	-413.829132	0	0	0
-218	1	173.8518	1	0	1
-219	0	-422.603882	0	0	0
-220	0	-397.060364	0	0	0
-221	1	-51.67093	3.62744371E-23	74.545392954249706	0
-222	1	-254.9071	0	Infinity	0
-223	1	-47.25174	3.01182883E-21	68.169850212425573	0
-224	1	126.361267	1	0	1
-225	0	-407.171082	0	0	0
-226	1	49.32419	1	0	1
-227	1	143.052124	1	0	1
-228	0	-388.679047	0	0	0
-229	1	124.959839	1	0	1
-230	1	-79.35242	3.44892051E-35	114.48133844099975	0
-231	1	122.692749	1	0	1
-232	0	-256.504028	0	0	0
-233	1	-84.9973755	1.21929513E-37	122.62529213957316	0
-234	0	-275.7568	0	0	0
-235	0	?	?	?	0
-236	1	116.098267	1	0	1
-237	1	26.0986938	1	0	1
-238	1	370.027954	1	0	1
-239	1	-52.4384155	1.68378053E-23	75.652642077469366	0
-240	0	-330.808228	0	0	0
-241	0	-355.912079	0	0	0
-242	0	-414.214417	0	0	0
-243	0	-332.413025	0	0	0
-244	0	-413.829132	0	0	0
-245	0	-374.918457	0	0	0
-246	1	321.109131	1	0	1
-247	1	-61.9207153	1.28284749E-27	89.332708892981643	0
-248	0	-346.1557	0	0	0
-249	0	?	?	?	0
-250	0	-354.643219	0	0	0
-251	1	108.2807	1	0	1
-252	0	-4.193939	0.0148625113	0.021603009492489122	0
-253	1	86.67383	1	0	1
-254	1	-11.9711	6.324332E-06	17.270655479328113	0
-255	1	62.42392	1	0	1
-256	0	-401.2836	0	0	0
-257	0	-407.94165	0	0	0
-258	0	-414.5997	0	0	0
-259	0	-8.52298	0.0001988065	0.00028684567329613589	0
-260	1	91.19623	1	0	1
-261	1	134.843628	1	0	1
-262	1	158.870361	1	0	1
-263	1	25.5258484	1	0	1
-264	1	-11.0758057	1.54821755E-05	15.979032265129009	0
-265	0	-411.8769	0	0	0
-266	1	256.479553	1	0	1
-267	1	-151.574524	0	Infinity	0
-268	1	49.6661072	1	0	1
-269	0	-413.829132	0	0	0
-270	1	13.7780151	0.999999	1.4618532729665815E-06	1
-271	0	-415.3703	0	0	0
-272	1	-151.574524	0	Infinity	0
-273	1	-303.688629	0	Infinity	0
-274	0	-400.833862	0	0	0
-275	0	?	?	?	0
-276	0	-407.94165	0	0	0
-277	0	-407.171082	0	0	0
-278	0	-413.829132	0	0	0
-279	1	-28.7467346	3.276814E-13	41.472771430985198	0
-280	0	-414.5997	0	0	0
-281	0	-397.445648	0	0	0
-282	1	96.48364	1	0	1
-283	1	-59.1726379	2.00285667E-26	85.368071284909448	0
-284	1	183.314758	1	0	1
-285	1	255.142639	1	0	1
-286	1	319.219543	1	0	1
-287	0	-433.091736	0	0	0
-288	1	-267.595245	0	Infinity	0
-289	1	175.671082	1	0	1
-290	0	-400.513	0	0	0
-291	0	-413.829132	0	0	0
-292	1	?	?	?	0
-293	1	51.4936523	1	0	1
-294	0	?	?	?	0
-295	1	5.8543396	0.997140765	0.0041309123233919023	1
-296	0	-173.148254	0	0	0
-297	0	?	?	?	0
-298	0	-429.3664	0	0	0
-299	1	-112.8385	0	Infinity	0
-300	1	-114.377228	0	Infinity	0
-301	0	-413.829132	0	0	0
-302	1	274.0891	1	0	1
-303	0	-413.829132	0	0	0
-304	1	21.4684753	1	0	1
-305	1	269.0639	1	0	1
-306	0	-413.829132	0	0	0
-307	0	-413.829132	0	0	0
-308	1	66.88153	1	0	1
-309	0	-333.1836	0	0	0
-310	0	-432.706451	0	0	0
-311	0	-400.513	0	0	0
-312	1	-175.547363	0	Infinity	0
-313	0	-400.513	0	0	0
-314	0	-382.020966	0	0	0
-315	0	?	?	?	0
-316	1	-56.5515747	2.753995E-25	81.586676422594735	0
-317	1	168.155884	1	0	1
-318	0	-489.2794	0	0	0
-319	0	-232.038055	0	0	0
-320	1	16.8273315	0.99999994	8.5991327994145617E-08	1
-321	0	?	?	?	0
-322	0	-414.5997	0	0	0
-323	1	72.79901	1	0	1
-324	0	-413.829132	0	0	0
-325	0	-334.540161	0	0	0
-326	1	-176.167816	0	Infinity	0
-327	0	-407.171082	0	0	0
-328	1	131.3811	1	0	1
-329	1	-125.164459	0	Infinity	0
-330	1	-127.383881	0	Infinity	0
-331	0	-410.5272	0	0	0
-332	0	-332.307831	0	0	0
-333	1	-17.0445251	3.95964967E-08	24.590051963836686	0
-334	1	77.07416	1	0	1
-335	0	-400.513	0	0	0
-336	1	89.2496948	1	0	1
-337	0	-413.829132	0	0	0
-338	0	-382.020966	0	0	0
-339	1	68.04913	1	0	1
-340	1	-70.21268	3.213822E-31	101.29548091112767	0
-341	0	-413.829132	0	0	0
-342	0	-400.898315	0	0	0
-343	0	-400.513	0	0	0
-344	1	-25.81427	6.151839E-12	37.242119386792353	0
-345	0	-400.513	0	0	0
-346	0	-337.034	0	0	0
-347	0	-347.8312	0	0	0
-348	1	-173.990021	0	Infinity	0
-349	1	-122.635986	0	Infinity	0
-350	0	-368.516632	0	0	0
-351	0	-414.214417	0	0	0
-352	0	-263.0901	0	0	0
-353	1	207.045776	1	0	1
-354	0	-407.171082	0	0	0
-355	0	-419.711182	0	0	0
-356	1	-264.1968	0	Infinity	0
-357	1	143.662415	1	0	1
-358	1	94.0296	1	0	1
-359	1	-100.401337	2.522337E-44	144.83007499855768	0
-360	1	294.12854	1	0	1
-361	1	286.876648	1	0	1
-362	0	-365.00592	0	0	0
-363	0	-206.582718	0	0	0
-364	0	-414.214417	0	0	0
-365	0	-407.556366	0	0	0
-366	1	336.557373	1	0	1
-367	1	294.622864	1	0	1
-368	0	-407.361328	0	0	0
-369	0	-388.8693	0	0	0
-370	0	-338.313324	0	0	0
-371	0	-407.361328	0	0	0
-372	0	-411.7511	0	0	0
-373	0	-391.943481	0	0	0
-374	0	-411.365784	0	0	0
-375	0	-400.513	0	0	0
-376	0	-407.171082	0	0	0
-377	0	-382.020966	0	0	0
-378	0	-369.0196	0	0	0
-379	0	-377.355042	0	0	0
-380	0	-400.513	0	0	0
-381	1	153.2738	1	0	1
-382	0	-338.1953	0	0	0
-383	0	-400.898315	0	0	0
-384	0	-400.898315	0	0	0
-385	0	-291.049133	0	0	0
-386	1	33.2608032	1	0	1
-387	0	-332.012054	0	0	0
-388	0	-393.7905	0	0	0
-389	0	-396.413422	0	0	0
-390	0	-390.4023	0	0	0
-391	1	229.0141	1	0	1
-392	0	-407.94165	0	0	0
-393	0	-375.3629	0	0	0
-394	0	-364.725433	0	0	0
-395	0	-407.94165	0	0	0
-396	0	-414.5997	0	0	0
-397	0	-401.668884	0	0	0
-398	0	-344.881836	0	0	0
-399	0	-358.067383	0	0	0
-400	1	216.038391	1	0	1
-401	0	-401.2836	0	0	0
-402	0	-316.972656	0	0	0
-403	0	-330.234436	0	0	0
-404	0	-303.91568	0	0	0
-405	0	-407.171082	0	0	0
-406	0	-362.457153	0	0	0
-407	0	-407.171082	0	0	0
-408	0	-278.598877	0	0	0
-409	0	-411.365784	0	0	0
-410	0	-407.171082	0	0	0
-411	0	?	?	?	0
-412	1	21.296814	1	0	1
-413	0	-418.794434	0	0	0
-414	1	17.1500549	0.99999994	8.5991327994145617E-08	1
-415	0	-158.312744	0	0	0
-416	1	-78.57623	7.495069E-35	113.36154154761103	0
-417	0	-407.171082	0	0	0
-418	0	-310.439728	0	0	0
-419	0	-377.760681	0	0	0
-420	0	-287.8263	0	0	0
-421	1	88.56616	1	0	1
-422	0	-295.7137	0	0	0
-423	0	-415.560547	0	0	0
-424	0	-401.2836	0	0	0
-425	1	236.068481	1	0	1
-426	0	-320.587067	0	0	0
-427	1	-44.00345	7.754345E-20	63.483556937036411	0
-428	0	-407.171082	0	0	0
-429	0	-407.556366	0	0	0
-430	0	-294.817322	0	0	0
-431	0	-418.3671	0	0	0
-432	0	-394.946381	0	0	0
-433	0	-321.876282	0	0	0
-434	0	122.56488	1	Infinity	1
-435	1	71.62463	1	0	1
-436	1	-2.05007935	0.114044361	3.1323329838202993	0
-437	0	-401.668884	0	0	0
-438	0	-374.979675	0	0	0
-439	0	-402.054169	0	0	0
-440	1	-9.103485	0.000111264941	13.133713305553275	0
-441	0	-234.828949	0	0	0
-442	0	-319.609375	0	0	0
-443	0	-376.829956	0	0	0
-444	0	-350.0185	0	0	0
-445	0	-400.898315	0	0	0
-446	0	-400.513	0	0	0
-447	0	-402.054169	0	0	0
-448	0	-375.3629	0	0	0
-449	1	173.530884	1	0	1
-450	0	-349.6393	0	0	0
-451	0	-402.054169	0	0	0
-452	0	-367.746063	0	0	0
-453	1	34.4112854	1	0	1
-454	0	-327.4605	0	0	0
-455	1	-234.852478	0	Infinity	0
-456	1	106.093872	1	0	1
-457	1	9.033997	0.999880731	0.0001720789042225489	1
-458	0	-405.478333	0	0	0
-459	0	-408.902466	0	0	0
-460	0	-368.516632	0	0	0
-461	0	-306.5514	0	0	0
-462	0	-368.901917	0	0	0
-463	0	-387.903	0	0	0
-464	0	-401.668884	0	0	0
-465	1	131.093628	1	0	1
-466	1	34.3149719	1	0	1
-467	1	90.55585	1	0	1
-468	0	-401.668884	0	0	0
-469	0	-410.5952	0	0	0
-470	0	-382.791565	0	0	0
-471	0	-368.901917	0	0	0
-472	0	-377.289368	0	0	0
-473	0	-401.668884	0	0	0
-474	0	-402.054169	0	0	0
-475	0	-401.2836	0	0	0
-476	0	-405.093018	0	0	0
-477	0	-401.668884	0	0	0
-478	0	-352.760254	0	0	0
-479	1	251.724915	1	0	1
-480	0	-376.904083	0	0	0
-481	0	-256.584167	0	0	0
-482	1	161.241211	1	0	1
-483	1	143.984924	1	0	1
-484	0	-405.478333	0	0	0
-485	0	-294.4593	0	0	0
-486	0	-382.791565	0	0	0
-487	1	245.079346	1	0	1
-488	1	36.02997	1	0	1
-489	1	-281.350861	0	Infinity	0
-490	0	-400.513	0	0	0
-491	1	113.965393	1	0	1
-492	0	-383.176849	0	0	0
-493	1	300.856079	1	0	1
-494	0	-216.785461	0	0	0
-495	0	-382.791565	0	0	0
-496	0	-375.3629	0	0	0
-497	0	-352.374939	0	0	0
-498	0	-408.326935	0	0	0
-499	0	-408.326935	0	0	0
-500	0	-415.755585	0	0	0
-501	0	-408.326935	0	0	0
-502	0	-391.558167	0	0	0
-503	0	-414.985	0	0	0
-504	0	-400.513	0	0	0
-505	0	-302.69574	0	0	0
-506	1	234.96405	1	0	1
-507	0	-329.463867	0	0	0
-508	0	-402.054169	0	0	0
-509	0	-400.898315	0	0	0
-510	0	-400.513	0	0	0
-511	0	-408.712219	0	0	0
-512	0	-402.054169	0	0	0
-513	0	-382.791565	0	0	0
-514	1	244.530945	1	0	1
-515	1	390.9422	1	0	1
-516	0	-375.3629	0	0	0
-517	0	-382.020966	0	0	0
-518	0	-387.938965	0	0	0
-519	1	13.2459412	0.9999982	2.5797420694119618E-06	1
-520	0	-425.6631	0	0	0
-521	0	-426.81897	0	0	0
-522	1	-162.323669	0	Infinity	0
-523	1	91.895874	1	0	1
-524	0	-407.94165	0	0	0
-525	0	-384.514832	0	0	0
-526	0	-401.668884	0	0	0
-527	0	-414.985	0	0	0
-528	0	-392.519	0	0	0
-529	0	-383.176849	0	0	0
-530	1	8.005951	0.999666631	0.00048102966772982418	1
-531	0	-362.457153	0	0	0
-532	0	-388.679047	0	0	0
-533	0	-407.94165	0	0	0
-534	0	-407.556366	0	0	0
-535	0	-403.908661	0	0	0
-536	0	-415.3703	0	0	0
-537	0	-418.794434	0	0	0
-538	0	-408.326935	0	0	0
-539	0	-409.097534	0	0	0
-540	0	-385.029175	0	0	0
-541	0	-401.2836	0	0	0
-542	0	-303.4663	0	0	0
-543	0	-408.326935	0	0	0
-544	0	-397.6359	0	0	0
-545	0	-408.712219	0	0	0
-546	1	408.09906	1	0	1
-547	0	-375.7482	0	0	0
-548	0	-376.133484	0	0	0
-549	1	141.684875	1	0	1
-550	0	-407.94165	0	0	0
-551	0	-413.829132	0	0	0
-552	0	-344.853363	0	0	0
-553	0	-164.293976	0	0	0
-554	0	-401.2836	0	0	0
-555	0	-226.694183	0	0	0
-556	0	-320.923584	0	0	0
-557	0	-368.516632	0	0	0
-558	0	-407.556366	0	0	0
-559	0	-408.712219	0	0	0
-560	0	-415.3703	0	0	0
-561	0	-415.3703	0	0	0
-562	0	-413.829132	0	0	0
-563	0	-407.94165	0	0	0
-564	0	-401.219147	0	0	0
-565	1	215.478271	1	0	1
-566	0	-418.023865	0	0	0
-567	0	-360.960815	0	0	0
-568	1	-99.8051453	4.484155E-44	144	0
-569	1	128.35553	1	0	1
-570	1	109.875549	1	0	1
-571	1	143.371338	1	0	1
-572	0	-407.94165	0	0	0
-573	0	-407.171082	0	0	0
-574	1	19.3930969	1	0	1
-575	0	-418.794434	0	0	0
-576	0	-408.712219	0	0	0
-577	0	-407.171082	0	0	0
-578	0	-407.171082	0	0	0
-579	0	-413.829132	0	0	0
-580	0	-412.136383	0	0	0
-581	1	99.5480957	1	0	1
-582	1	348.034058	1	0	1
-583	0	-401.2836	0	0	0
-584	0	-343.360443	0	0	0
-585	0	-400.513	0	0	0
-586	1	337.054138	1	0	1
-587	0	-394.946381	0	0	0
-588	1	-21.5651855	4.30882552E-10	31.111986269672936	0
-589	0	-402.054169	0	0	0
-590	1	-25.1401978	1.20712112E-11	36.269638601249056	0
-591	1	51.3045654	1	0	1
-592	1	-80.5669556	1.02380155E-35	116.23354721913097	0
-593	0	-405.478333	0	0	0
-594	1	82.7042847	1	0	1
-595	0	-408.712219	0	0	0
-596	0	-411.7511	0	0	0
-597	0	-422.2186	0	0	0
-598	0	-407.94165	0	0	0
-599	0	-337.8826	0	0	0
-600	0	-407.94165	0	0	0
-601	0	-382.020966	0	0	0
-602	0	-408.326935	0	0	0
-603	1	-126.92569	0	Infinity	0
-604	1	-93.5751953	2.295187E-41	135.00044034278059	0
-605	1	-47.6547852	2.01274975E-21	68.751322185612878	0
-606	0	-384.900116	0	0	0
-607	0	-400.513	0	0	0
-608	1	113.71698	1	0	1
-609	0	-402.054169	0	0	0
-610	1	40.86389	1	0	1
-611	1	118.382507	1	0	1
-612	1	380.642151	1	0	1
-613	0	-308.9685	0	0	0
-614	0	-382.40625	0	0	0
-615	0	-415.175232	0	0	0
-616	0	-407.94165	0	0	0
-617	0	?	?	?	0
-618	0	-408.326935	0	0	0
-619	0	-408.712219	0	0	0
-620	0	-407.94165	0	0	0
-621	0	-311.9197	0	0	0
-622	0	-379.369446	0	0	0
-623	0	-400.513	0	0	0
-624	0	-366.793365	0	0	0
-625	0	-362.232849	0	0	0
-626	1	-60.24713	6.839168E-27	86.918237673162878	0
-627	0	-306.166077	0	0	0
-628	0	-400.898315	0	0	0
-629	0	-401.668884	0	0	0
-630	0	-359.993835	0	0	0
-631	0	-408.712219	0	0	0
-632	0	-400.513	0	0	0
-633	1	1.76364136	0.8536651	0.22825787272289805	1
-634	0	-401.2836	0	0	0
-635	0	-411.55603	0	0	0
-636	1	84.4071045	1	0	1
-637	0	-312.084869	0	0	0
-638	0	-401.668884	0	0	0
-639	0	-368.516632	0	0	0
-640	0	-368.131348	0	0	0
-641	0	-407.94165	0	0	0
-642	0	-407.94165	0	0	0
-643	0	-400.513	0	0	0
-644	0	-400.898315	0	0	0
-645	0	-407.94165	0	0	0
-646	0	-354.643219	0	0	0
-647	0	-366.975464	0	0	0
-648	1	91.73328	1	0	1
-649	0	-407.94165	0	0	0
-650	0	-338.615753	0	0	0
-651	0	-324.3396	0	0	0
-652	0	-394.946381	0	0	0
-653	0	-408.326935	0	0	0
-654	0	-414.5997	0	0	0
-655	0	-407.94165	0	0	0
-656	0	-408.712219	0	0	0
-657	0	-363.256348	0	0	0
-658	1	190.37738	1	0	1
-659	0	-400.513	0	0	0
-660	0	-407.171082	0	0	0
-661	0	-414.985	0	0	0
-662	0	-414.019379	0	0	0
-663	0	-414.019379	0	0	0
-664	0	-374.4041	0	0	0
-665	0	-400.513	0	0	0
-666	0	-334.5725	0	0	0
-667	0	-414.5997	0	0	0
-668	1	-123.532867	0	Infinity	0
-669	1	231.38147	1	0	1
-670	1	230.878479	1	0	1
-671	0	-348.537	0	0	0
-672	0	-414.214417	0	0	0
-673	0	-332.040558	0	0	0
-674	0	-407.171082	0	0	0
-675	0	-411.941345	0	0	0
-676	0	-410.5952	0	0	0
-677	0	-402.054169	0	0	0
-678	0	-400.513	0	0	0
-679	0	-400.898315	0	0	0
-680	1	390.4923	1	0	1
-681	1	376.423279	1	0	1
-682	0	-401.604431	0	0	0
-683	0	-400.513	0	0	0
-684	0	-400.513	0	0	0
-685	0	-400.513	0	0	0
-686	0	-400.513	0	0	0
-687	0	-380.409943	0	0	0
-688	0	-401.668884	0	0	0
-689	0	-366.611267	0	0	0
-690	0	-366.975464	0	0	0
-691	1	143.604248	1	0	1
-692	0	-401.2836	0	0	0
-693	0	-403.098541	0	0	0
-694	0	-402.750641	0	0	0
-695	0	-400.898315	0	0	0
-696	1	48.056427	1	0	1
-697	1	31.3800049	1	0	1
-698	1	12.3017273	0.99999547	6.5353555352246199E-06	1