private void DoTestSetTrueCount(AbstractSparseBinaryMatrix sm)
{
int[][] connectedSynapses = new int[][]
{
new int[] { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0 },
new int[] { 0, 1, 0, 0, 0, 0, 1, 0, 0, 0 },
new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 0, 0 },
new int[] { 0, 0, 0, 1, 0, 0, 0, 0, 1, 0 },
new int[] { 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }
};
for (int i = 0; i < sm.GetDimensions()[0]; i++)
{
for (int j = 0; j < sm.GetDimensions()[1]; j++)
{
sm.Set(connectedSynapses[i][j], i, j);
}
}
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 10; j++)
{
Assert.AreEqual(connectedSynapses[i][j], sm.GetIntValue(i, j));
}
}
for (int i = 0; i < 5; i++)
{
Assert.AreEqual(2, sm.GetTrueCount(i));
}
}
private void DoTestBackingStoreAndSliceAccessManyDimensions(AbstractSparseBinaryMatrix sm)
{
/*set diagonal element to true*/
sm.Set(1, 0, 0, 0);
sm.Set(1, 1, 1, 1);
sm.Set(1, 2, 2, 2);
sm.Set(1, 3, 3, 3);
sm.Set(1, 4, 4, 4);
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
for (int k = 0; k < 5; k++)
{
if (k == j & j == i)
{
Assert.AreEqual(1, sm.GetIntValue(i, j, k));
}
}
}
}
SparseByteArray slice = (SparseByteArray)sm.GetSlice(4, 4);
for (int i = 0; i < 5; i++)
{
Assert.AreEqual(1, sm.GetTrueCount(i));
}
Console.WriteLine("slice:" + ArrayUtils.IntArrayToString(slice));
Assert.AreEqual(1, slice[4]);
/*update first row to true, other to false*/
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 5; j++)
{
for (int k = 0; k < 5; k++)
{
if (0 == i)
{
sm.Set(1, i, j, k);
}
else
{
sm.Set(0, i, j, k);
}
}
}
}
Assert.AreEqual(25, sm.GetTrueCounts()[0]);
Assert.AreEqual(0, sm.GetTrueCounts()[1]);
}
private void DoTestArraySet(AbstractSparseBinaryMatrix sm)
{
int[] expected = { 1, 0, 0, 0, 1, 0, 1, 1, 1, 0 };
int[] values = { 1, 1, 1, 1, 1 };
int[] indexes = { 0, 4, 6, 7, 8 };
sm.Set(indexes, values);
int[] dense = new int[sm.GetMaxIndex() + 1];
for (int i = 0; i < sm.GetMaxIndex() + 1; i++)
{
dense[i] = sm.GetIntValue(i);
}
Assert.IsTrue(Arrays.AreEqual(expected, dense));
}
private void DoTestBackingStoreAndSliceAccess(AbstractSparseBinaryMatrix sm)
{
int[][] connectedSynapses = new int[][]
{
new int[] { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0 },
new int[] { 0, 1, 0, 0, 0, 0, 1, 0, 0, 0 },
new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 0, 0 },
new int[] { 0, 0, 0, 1, 0, 0, 0, 0, 1, 0 },
new int[] { 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }
};
for (int i = 0; i < sm.GetDimensions()[0]; i++)
{
for (int j = 0; j < sm.GetDimensions()[1]; j++)
{
sm.Set(connectedSynapses[i][j], i, j);
}
}
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 10; j++)
{
Assert.AreEqual(connectedSynapses[i][j], sm.GetIntValue(i, j));
}
}
for (int i = 0; i < connectedSynapses.Length; i++)
{
for (int j = 0; j < connectedSynapses[i].Length; j++)
{
Assert.AreEqual(connectedSynapses[i][j], ((SparseByteArray)sm.GetSlice(i))[j], 0);
}
}
//Make sure warning is proper for exact access
try
{
sm.GetSlice(0, 4);
Assert.Fail();
}
catch (Exception e)
{
Assert.AreEqual("This method only returns the array holding the specified index: " +
Arrays.ToString(new int[] { 0, 4 }), e.Message);
}
}
private void DoTestGetSparseIndices(AbstractSparseBinaryMatrix sm)
{
int[] expected = { 0, 5, 11, 16, 22, 27, 33, 38, 44, 49 };
int[][] values = new int[][]
{
new int[] { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0 },
new int[] { 0, 1, 0, 0, 0, 0, 1, 0, 0, 0 },
new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 0, 0 },
new int[] { 0, 0, 0, 1, 0, 0, 0, 0, 1, 0 },
new int[] { 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }
};
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 10; j++)
{
sm.Set(values[i][j], new int[] { i, j });
}
}
int[] sdr = sm.GetSparseIndices();
Assert.IsTrue(Arrays.AreEqual(expected, sdr));
}
private void DoTestRightVecSumAtNzFast(AbstractSparseBinaryMatrix sm)
{
int[] dimensions = new int[] { 5, 10 };
int[][] connectedSynapses = new int[][]
{
new int[] { 1, 0, 0, 0, 0, 1, 0, 0, 0, 0 },
new int[] { 0, 1, 0, 0, 0, 0, 1, 0, 0, 0 },
new int[] { 0, 0, 1, 0, 0, 0, 0, 1, 0, 0 },
new int[] { 0, 0, 0, 1, 0, 0, 0, 0, 1, 0 },
new int[] { 0, 0, 0, 0, 1, 0, 0, 0, 0, 1 }
};
for (int i = 0; i < sm.GetDimensions()[0]; i++)
{
for (int j = 0; j < sm.GetDimensions()[1]; j++)
{
sm.Set(connectedSynapses[i][j], i, j);
}
}
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 10; j++)
{
Assert.AreEqual(connectedSynapses[i][j], sm.GetIntValue(i, j));
}
}
int[] inputVector = new int[] { 1, 0, 1, 0, 1, 0, 1, 0, 1, 0 };
int[] results = new int[5];
int[] trueResults = new int[] { 1, 1, 1, 1, 1 };
sm.RightVecSumAtNZ(inputVector, results);
for (int i = 0; i < results.Length; i++)
{
Assert.AreEqual(trueResults[i], results[i]);
}
///////////////////////
connectedSynapses = new int[][]
{
new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 },
new int[] { 0, 0, 1, 1, 1, 1, 1, 1, 1, 1 },
new int[] { 0, 0, 0, 0, 1, 1, 1, 1, 1, 1 },
new int[] { 0, 0, 0, 0, 0, 0, 1, 1, 1, 1 },
new int[] { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 }
};
sm = new SparseBinaryMatrix(dimensions);
for (int i = 0; i < sm.GetDimensions()[0]; i++)
{
for (int j = 0; j < sm.GetDimensions()[1]; j++)
{
sm.Set(connectedSynapses[i][j], i, j);
}
}
for (int i = 0; i < 5; i++)
{
for (int j = 0; j < 10; j++)
{
Assert.AreEqual(connectedSynapses[i][j], sm.GetIntValue(i, j));
}
}
inputVector = new int[] { 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 };
results = new int[5];
trueResults = new int[] { 10, 8, 6, 4, 2 };
sm.RightVecSumAtNZ(inputVector, results);
for (int i = 0; i < results.Length; i++)
{
Assert.AreEqual(trueResults[i], results[i]);
}
}
