def testing(weights, testingData):
    outputNode = [[0] * len(testingData)]*4
    for emotions in range(1, 5):
        moodOutput = []
        for i in range(len(testingData)):

            for p in range(0, 400):
                outputNode[emotions-1][i] += testingData[i].image[p]*weights[emotions-1][p]

            outputNode[emotions-1][i] = sign(outputNode[emotions-1][i])
    #Decide classification based on outputNode

    #return "key vector" for testingdata