added old example files for human testing to tests folder

test/10a-weighted-MFCCs-comparison.scd

@@ -11,7 +11,7 @@
 ~flatbuf = 4.collect{Buffer.new};
 
 // here we instantiate a loader as per example 0
-~loader = FluidLoadFolder(File.realpath(FluidBufMFCC.class.filenameSymbol).dirname.withTrailingSlash ++ "../AudioFiles/");
+~loader = FluidLoadFolder(FluidFilesPath());
 
 // here we instantiate a further slicing step as per example 0
 ~slicer = FluidSliceCorpus({ |src,start,num,dest|

test/10b-weighted-pitch-comparison.scd

@@ -1,6 +1,6 @@
 //load a part of a sound that has 3 clear components: a clear pitch component to start, a noisy pitchless ending and DC offset silence on both ends
 (
-b = Buffer.read(s,File.realpath(FluidBufPitch.class.filenameSymbol).dirname.withTrailingSlash ++ "../AudioFiles/Tremblay-ASWINE-ScratchySynth-M.wav",42250,44100);
+b = Buffer.read(s,FluidFilesPath("Tremblay-ASWINE-ScratchySynth-M.wav"),42250,44100);
 ~pitches = Buffer(s);
 ~stats = Buffer(s);
 ~loud = Buffer(s);

test/12-windowed-clustered-segmentation.scd

@@ -1,5 +1,5 @@
 // load a source folder
-~loader = FluidLoadFolder(File.realpath(FluidBufMFCC.class.filenameSymbol).dirname.withTrailingSlash ++ "../AudioFiles/");
+~loader = FluidLoadFolder(FluidFilesPath());
 ~loader.play;
 
 //slightly oversegment with novelty
@@ -102,15 +102,18 @@ t = Main.elapsedTime;
 (
 ~windowedFunct = {arg head, winSize, overlap;
 	var nbass = [], assignments = [], tempDict = ();
+	"windowedFunct".postln;
 	//check the size of everything to not overrun
 	winSize = (~originalslicesarray.size - head).min(winSize);
 	//copy the items to a subdataset from hear
 	winSize.do{|i|
+		"winSize %\n".postf(i);
 		tempDict.put((i.asString), ~sliceDict["data"][(~orginalkeys[(i+head)]).asString]);//here one could curate which stats to take
 		// "whichslices:%\n".postf(i+head);
 	};
+	"sliceDict cols: %\n".postf(~sliceDict["cols"]);
 	~windowDS.load(Dictionary.newFrom([\cols, ~sliceDict["cols"].asInteger, \data, tempDict]), action: {
-		// "% - loaded\n".postf(head);
+		"% - loaded\n".postf(head);
 
 		//kmeans 2 and retrieve ordered array of class assignations
 		~kmeans.fitPredict(~windowDS, ~windowLS, action: {|x|

test/13-massive-parallelisation-example.scd

@@ -9,7 +9,7 @@ s.reboot
 //We'll jam together some random flucoma sounds for illustrative purposes
 //Get some files
 (
-~audioexamples_path = File.realpath(FluidBufMelBands.class.filenameSymbol).dirname.withTrailingSlash +/+ "../AudioFiles/*.wav";
+~audioexamples_path = FluidFilesPath()+/+"*.wav";
 ~allTheSounds = SoundFile.collect(~audioexamples_path);
 ~testSounds = ~allTheSounds;
 ~testSounds.do{|f| f.path.postln}; // print out the files that are loaded
@@ -224,7 +224,7 @@ fork{
 ~stdmels = FluidDataSet(s);//will standardised, pruned mel data
 ~standardizer = FluidStandardize(s);
 ~pruner = FluidDataSetQuery(s);
-~tree = FluidKDTree(s,numNeighbours:10,lookupDataSet:~slicedata);//we have to supply the lookup data set when we make the tree (boo!)
+~tree = FluidKDTree(s,numNeighbours:10);//we have to supply the lookup data set when we make the tree (boo!)
 )
 
 //Prune, standardize and fit KDTree

test/8c-mlp-regressor-as-dim-redux.scd

@@ -4,7 +4,7 @@ s.reboot;
 ~raw = FluidDataSet(s);
 ~norm = FluidDataSet(s);
 ~retrieved = FluidDataSet(s);
-~audio = Buffer.read(s,File.realpath(FluidBufMelBands.class.filenameSymbol).dirname +/+ "../AudioFiles/Tremblay-ASWINE-ScratchySynth-M.wav");
+~audio = Buffer.read(s,FluidFilesPath("Tremblay-ASWINE-ScratchySynth-M.wav"));
 ~melfeatures = Buffer.new(s);
 ~stats = Buffer.alloc(s, 7, 40);
 ~datapoint = Buffer.alloc(s, 40);