go(stats): Solution -> BenchResults in FuncStats

algo/plot.go

@@ -136,7 +136,7 @@ func plotAllDims(algoStats []stats.Stats, fPrefix, fExt string, ch chan report.P
 			//   https://stackoverflow.com/a/44872993
 			lines := make([]interface{}, 0)
 
-			for _, iter := range dim.Solution {
+			for _, iter := range dim.BenchResults {
 				// mark the end of the X axis with len(iter.Results).
 				p.X.Max = float64(len(iter.Results))
 
@@ -174,7 +174,7 @@ func plotAllDims(algoStats []stats.Stats, fPrefix, fExt string, ch chan report.P
 				util.SanitiseFName(dim.BenchName) + "-" +
 				fmt.Sprint(s.Dimens) + "D-" +
 				fmt.Sprint(s.Generations) + "G-" +
-				fmt.Sprint(len(dim.Solution)) + "I"
+				fmt.Sprint(len(dim.BenchResults)) + "I"
 			filenameMean := filename + util.SanitiseFName(" Mean")
 
 			// NEVER EVER ATTEMPT TO INITIALISE THIS WITH `pic`!
@@ -190,7 +190,7 @@ func plotAllDims(algoStats []stats.Stats, fPrefix, fExt string, ch chan report.P
 			picMean.FilePath = filenameMean
 
 			// get the *mean* plot.
-			pMean := plotMeanVals(dim.Solution, meanTitle, s.Generations)
+			pMean := plotMeanVals(dim.BenchResults, meanTitle, s.Generations)
 
 			elapsed := time.Since(start)
 			info := "saving img to file: " + filename + "(-Mean)" + fExt +

algo/randomSearch.go

@@ -117,7 +117,7 @@ func RandomSearchNG(maxFES, benchMinIters int, theD []int, benchFunc string, ch
 		printRandomSearch("running bench \"" + benchFunc + "\" for " +
 			fmt.Sprint(randomSearchStatDimX.Dimens) + "D")
 
-		funcStats.Solution = make([]stats.BenchRound, minIters)
+		funcStats.BenchResults = make([]stats.BenchRound, minIters)
 
 		// perform the while dance 'minIters' times for "statistical relevance"
 		for iter := 0; iter < minIters; iter++ {
@@ -125,7 +125,7 @@ func RandomSearchNG(maxFES, benchMinIters int, theD []int, benchFunc string, ch
 			var bestResult float64
 
 			// set current iteration in funcStats.
-			funcStats.Solution[iter].Iteration = iter
+			funcStats.BenchResults[iter].Iteration = iter
 
 			// run the benchmarking function 'fes' times.
 			for i := 0; i < fes; i++ {
@@ -149,8 +149,8 @@ func RandomSearchNG(maxFES, benchMinIters int, theD []int, benchFunc string, ch
 				}
 
 				// save the 'best' result, since we only care about those.
-				funcStats.Solution[iter].Results = append(
-					funcStats.Solution[iter].Results,
+				funcStats.BenchResults[iter].Results = append(
+					funcStats.BenchResults[iter].Results,
 					bestResult,
 				)
 			}

algo/stochasticHillClimbing.go

@@ -206,7 +206,7 @@ func HillClimb(maxFES, benchMinIters int, theD []int, benchFunc string, ch chan
 		printSHC("running bench \"" + benchFunc + "\" for " +
 			fmt.Sprint(stochasticHCStatDimX.Dimens) + "D")
 
-		funcStats.Solution = make([]stats.BenchRound, minIters)
+		funcStats.BenchResults = make([]stats.BenchRound, minIters)
 
 		// create a source of preudo-randomness.
 		src := rand.NewSource(uint64(rand.Int63()))
@@ -216,7 +216,7 @@ func HillClimb(maxFES, benchMinIters int, theD []int, benchFunc string, ch chan
 		start := time.Now()
 
 		for iter := 0; iter < minIters; iter++ {
-			funcStats.Solution[iter].Iteration = iter
+			funcStats.BenchResults[iter].Iteration = iter
 
 			// create and stochastically populate the vals slice.
 			initVals := make([]float64, dimens)
@@ -263,8 +263,8 @@ func HillClimb(maxFES, benchMinIters int, theD []int, benchFunc string, ch chan
 					}
 				}
 
-				funcStats.Solution[iter].Results = append(
-					funcStats.Solution[iter].Results,
+				funcStats.BenchResults[iter].Results = append(
+					funcStats.BenchResults[iter].Results,
 					bestResult,
 				)
 			}

stats/stats.go

@@ -20,7 +20,7 @@ type BenchRound struct {
 
 type FuncStats struct {
 	BenchName    string
-	Solution  []BenchRound
+	BenchResults []BenchRound
 }
 
 type Stats struct {
@@ -31,10 +31,10 @@ type Stats struct {
 	Generations    int
 }
 
-func GetFuncStats(funcName string, solution []BenchRound) FuncStats {
+func GetFuncStats(funcName string, benchResults []BenchRound) FuncStats {
 	f := FuncStats{
 		BenchName:    funcName,
-		Solution:  solution,
+		BenchResults: benchResults,
 	}
 
 	return f

stats/table.go

@@ -69,7 +69,7 @@ func parseSingleBenchStats(benchStats []Stats) []report.Row {
 			// collect the best.
 			var best []float64
 
-			for _, iter := range dim.Solution {
+			for _, iter := range dim.BenchResults {
 				last := s.Generations - 1
 
 				best = append(best, iter.Results[last])

stats/table_test.go

@@ -22,7 +22,7 @@ func TestParseBenchStats(t *testing.T) {
 	benchFuncStats := []FuncStats{
 		{
 			BenchName: "De Jong 5th",
-			Solution: []BenchRound{
+			BenchResults: []BenchRound{
 				{Iteration: 0, Results: []float64{2803.7015205977887, 2296.736381649773, 1763.9319525203364}},
 				{Iteration: 1, Results: []float64{2169.7378893600176, 2169.7378893600176, 2169.7378893600176}},
 				{Iteration: 2, Results: []float64{1909.6488355929007, 1336.3261400058473, 1336.3261400058473}},