public void Sort_ShortArray()
{
int[] keys = new int[] { 5, 8, 2, 16, 32, 12, 7 };
TimSort <int> .Sort(keys);
Assert.True(SpanUtils.Equal <int>(new int[] { 2, 5, 7, 8, 12, 16, 32 }, keys));
}
public void Sort_ShortArray()
{
int[] keys = new int[] { 5, 8, 2, 16, 32, 12, 7 };
int[] v = new int[] { 45, 42, 48, 24, 8, 28, 43 };
int[] w = new int[] { 0, 1, 2, 3, 4, 5, 6 };
IntroSort <int, int, int> .Sort(keys, v, w);
Assert.True(SpanUtils.Equal <int>(new int[] { 2, 5, 7, 8, 12, 16, 32 }, keys));
Assert.True(SpanUtils.Equal <int>(new int[] { 48, 45, 43, 42, 28, 24, 8 }, v));
Assert.True(SpanUtils.Equal <int>(new int[] { 2, 0, 6, 1, 5, 3, 4 }, w));
}
public void CalculateEuclideanCentroid()
{
// Init input gene arrays.
var connGenes1 = new ConnectionGenes <double>(6);
connGenes1[0] = (0, 1, 1.0);
connGenes1[1] = (0, 2, 2.0);
connGenes1[2] = (2, 2, 3.0);
connGenes1[3] = (2, 4, 4.0);
connGenes1[4] = (2, 5, 5.0);
connGenes1[5] = (3, 0, 6.0);
var connGenes2 = new ConnectionGenes <double>(8);
connGenes2[0] = (0, 1, 10.0);
connGenes2[1] = (0, 3, 20.0);
connGenes2[2] = (2, 2, 30.0);
connGenes2[3] = (2, 3, 40.0);
connGenes2[4] = (2, 5, 50.0);
connGenes2[5] = (2, 6, 60.0);
connGenes2[6] = (3, 0, 70.0);
connGenes2[7] = (4, 5, 80.0);
var connGenes3 = new ConnectionGenes <double>(2);
connGenes3[0] = (2, 5, 100.0);
connGenes3[1] = (10, 20, 200.0);
var arr = new ConnectionGenes <double>[] { connGenes1, connGenes2, connGenes3 };
// Calc centroid.
ConnectionGenes <double> centroid = DistanceMetricUtils.CalculateEuclideanCentroid(arr);
// Expected centroid.
var expected = new ConnectionGenes <double>(11);
expected[0] = (0, 1, 11 / 3.0);
expected[1] = (0, 2, 2 / 3.0);
expected[2] = (0, 3, 20 / 3.0);
expected[3] = (2, 2, 33 / 3.0);
expected[4] = (2, 3, 40 / 3.0);
expected[5] = (2, 4, 4 / 3.0);
expected[6] = (2, 5, 155 / 3.0);
expected[7] = (2, 6, 60 / 3.0);
expected[8] = (3, 0, 76 / 3.0);
expected[9] = (4, 5, 80 / 3.0);
expected[10] = (10, 20, 200 / 3.0);
Assert.True(SpanUtils.Equal <DirectedConnection>(expected._connArr, centroid._connArr));
Assert.True(ArrayTestUtils.ConponentwiseEqual(expected._weightArr, centroid._weightArr, 1e-6));
}
private static void Clip_Inner(UniformDistributionSampler sampler, int len)
{
// Alloc array and fill with uniform random noise.
float[] x = new float[len];
sampler.Sample(x);
// Clip the elements of the array with the safe routine.
float[] expected = (float[])x.Clone();
PointwiseClip(expected, -1.1f, 18.8f);
// Clip the elements of the array.
float[] actual = (float[])x.Clone();
MathSpan.Clip(actual, -1.1f, 18.8f);
// Compare expected with actual array.
Assert.True(SpanUtils.Equal <float>(expected, actual));
}
private static void Clip_Inner(ISampler <int> sampler, int len)
{
// Alloc array and fill with uniform random noise.
int[] x = new int[len];
sampler.Sample(x);
// Clip the elements of the array with the safe routine.
int[] expected = (int[])x.Clone();
PointwiseClip(expected, -1, 18);
// Clip the elements of the array.
int[] actual = (int[])x.Clone();
MathSpan.Clip(actual, -1, 18);
// Compare expected with actual array.
Assert.True(SpanUtils.Equal <int>(expected, actual));
}
/// <summary>
/// Validation tests on an array of hidden node IDs and an associated array of connections.
/// </summary>
/// <param name="hiddenNodeIdArr">Array of hidden node IDs.</param>
/// <param name="connArr">Array of connections.</param>
/// <param name="inputOutputCount">The total number of input and output nodes.</param>
/// <returns>true if the provided data is valid; otherwise false.</returns>
public static bool ValidateHiddenNodeIds(
int[] hiddenNodeIdArr,
DirectedConnection[] connArr,
int inputOutputCount)
{
// Test that the IDs are sorted (required to allow for efficient searching of IDs using a binary search).
if (!SortUtils.IsSortedAscending <int>(hiddenNodeIdArr))
{
return(false);
}
// Get the set of hidden node IDs described by the connections, and test that they match the supplied hiddenNodeIdArr.
int[] idArr = CreateHiddenNodeIdArray(connArr, inputOutputCount, new HashSet <int>());
if (!SpanUtils.Equal <int>(idArr, hiddenNodeIdArr))
{
return(false);
}
return(true);
}
private void PerformMutationOp()
{
int outcome = DiscreteDistribution.Sample(_rng, _opDistribution);
switch (outcome)
{
case 0: // Write.
{
PerformMutationOp_Write();
break;
}
case 1: // Write byte.
{
byte b = (byte)_rng.Next();
_strmA.WriteByte(b);
_strmB.WriteByte(b);
Debug.WriteLine("WriteByte");
break;
}
case 2: // Change read/write head position.
{
PerformMutationOp_Position();
break;
}
case 3: // SetLength
{
PerformMutationOp_SetLength();
break;
}
case 4: // Seek
{
PerformMutationOp_Seek();
break;
}
case 5: // Trim
{
_strmB.Trim();
Debug.WriteLine("Trim");
break;
}
case 6: // Read byte.
{
int a = _strmA.ReadByte();
int b = _strmB.ReadByte();
if (a != b)
{
throw new Exception("ReadByte mismatch");
}
Debug.WriteLine("ReadByte");
break;
}
case 7: // Read
{
int len = _rng.Next(20_000);
byte[] abuf = new byte[len];
byte[] bbuf = new byte[len];
int alen = _strmA.Read(abuf);
int blen = _strmB.Read(bbuf);
if (alen != blen)
{
throw new Exception("Read mismatch");
}
if (!SpanUtils.Equal <byte>(abuf, bbuf))
{
throw new Exception("Read mismatch");
}
Debug.WriteLine("Read");
break;
}
}
}
/// <summary>
/// Creates a new directed acyclic graph instance from the provided graph structure, accompanying graph
/// layer information, and node ID mappings.
/// </summary>
/// <param name="digraph">A directed graph structure.</param>
/// <param name="depthInfo">Depth/layer information, describing what layer each node of the graph is within.</param>
/// <param name="newIdByOldId">Returns a set of node ID mappings. These describe a mapping from the
/// non-contiguous node ID space of <paramref name="digraph"/>, to the contiguous node ID space of the
/// returned <see cref="DirectedGraphAcyclic"/>
/// contiguous space.</param>
/// <param name="connectionIndexMap">Returns a set of connection index mappings. The connections of
/// <paramref name="digraph"/> are re-ordered based on the layer/depth of each connection's source node;
/// this structure conveys the new index of each connection given its original/old index.</param>
/// <param name="timsortWorkArr">A re-usable working array for use as temporary storage by the timsort algorithm.</param>
/// <param name="timsortWorkVArr">A secondary re-usable working array for use as temporary storage by the timsort algorithm.</param>
/// <returns>A new instance of <see cref="DirectedGraphAcyclic"/>.</returns>
public static DirectedGraphAcyclic CreateDirectedGraphAcyclic(
DirectedGraph digraph,
GraphDepthInfo depthInfo,
out int[] newIdByOldId,
out int[] connectionIndexMap,
ref int[]?timsortWorkArr,
ref int[]?timsortWorkVArr)
{
int inputCount = digraph.InputCount;
int outputCount = digraph.OutputCount;
// Assert that all input nodes are at depth zero.
// Any input node with a non-zero depth must have an input connection, and this is not supported.
Debug.Assert(SpanUtils.Equal(depthInfo._nodeDepthArr.AsSpan(0, inputCount), 0));
// Compile a mapping from current node IDs to new IDs (based on node depth in the graph).
newIdByOldId = CompileNodeIdMap(depthInfo, digraph.TotalNodeCount, inputCount, ref timsortWorkArr, ref timsortWorkVArr);
// Map the connection node IDs.
ConnectionIdArrays connIdArrays = digraph.ConnectionIdArrays;
MapIds(connIdArrays, newIdByOldId);
// Init connection index map.
int connCount = connIdArrays.Length;
connectionIndexMap = new int[connCount];
for (int i = 0; i < connCount; i++)
{
connectionIndexMap[i] = i;
}
// Sort the connections based on sourceID, targetId; this will arrange the connections based on the depth
// of the source nodes.
// Note. This sort routine will also sort a secondary array, i.e. keep the items in both arrays aligned;
// here we use this to create connectionIndexMap.
ConnectionSorter <int> .Sort(connIdArrays, connectionIndexMap);
// Make a copy of the sub-range of newIdMap that represents the output nodes.
// This is required later to be able to locate the output nodes now that they have been sorted by depth.
int[] outputNodeIdxArr = new int[outputCount];
Array.Copy(newIdByOldId, inputCount, outputNodeIdxArr, 0, outputCount);
// Create an array of LayerInfo(s).
// Each LayerInfo contains the index + 1 of both the last node and last connection in that layer.
//
// The array is in order of depth, from layer zero (inputs nodes) to the last layer (usually output nodes,
// but not necessarily if there is a dead end pathway with a high number of hops).
//
// Note. There is guaranteed to be at least one connection with a source at a given depth level, this is
// because for there to be a layer N there must necessarily be a connection from a node in layer N-1
// to a node in layer N.
int graphDepth = depthInfo._graphDepth;
LayerInfo[] layerInfoArr = new LayerInfo[graphDepth];
// Note. Scanning over nodes can start at inputCount instead of zero, because all nodes prior to that index
// are input nodes and are therefore at depth zero. (input nodes are never the target of a connection,
// therefore are always guaranteed to be at the start of a connectivity graph, and thus at depth zero).
int nodeCount = digraph.TotalNodeCount;
int nodeIdx = inputCount;
int connIdx = 0;
int[] nodeDepthArr = depthInfo._nodeDepthArr;
int[] srcIdArr = connIdArrays._sourceIdArr;
for (int currDepth = 0; currDepth < graphDepth; currDepth++)
{
// Scan for last node at the current depth.
for (; nodeIdx < nodeCount && nodeDepthArr[nodeIdx] == currDepth; nodeIdx++)
{
;
}
// Scan for last connection at the current depth.
for (; connIdx < srcIdArr.Length && nodeDepthArr[srcIdArr[connIdx]] == currDepth; connIdx++)
{
;
}
// Store node and connection end indexes for the layer.
layerInfoArr[currDepth] = new LayerInfo(nodeIdx, connIdx);
}
// Construct and return.
return(new DirectedGraphAcyclic(
inputCount, outputCount, nodeCount,
connIdArrays,
layerInfoArr,
outputNodeIdxArr));
}