code: def generateSimpleCoincMatrix(nCoinc=10, length=500, activity=50):
    
    assert nCoinc*activity<=length, "can't generate non-overlapping coincidences"
    coincMatrix = SM32(0, length)
    coinc = numpy.zeros(length, dtype='int32')
  
    for i in xrange(nCoinc):
        coinc[:] = 0
        coinc[i*activity:(i+1)*activity] = 1
        coincMatrix.addRow(coinc)
  
    return coincMatrix
docs: Generate a non overlapping coincidence matrix. This is used to generate random
    inputs to the temporal learner and to compare the predicted output against.
  
    It generates a matrix of nCoinc rows, each row has length 'length' and has
    a total of 'activity' bits on.
  
    Parameters:
    -----------------------------------------------
    nCoinc:        the number of rows to generate
    length:        the length of each row
    activity:      the number of ones to put into each row.