SSH-Master-Thesis/ethan_data_processing_scripts/Vector.py

try:
    import cPickle as pickle
except ImportError:
    import pickle


class FeatureVector:
    def __init__(self):
        self.features = []
        self.activefeatures = []
        self.classification = None

    # set which features are active using a binary list
    # ex: For 2nd, 4th and 5th features to be active, pass [0,1,0,1,1]
    def setFeatures(self, binlist):
        activefeatures = []
        if len(binlist) != len(self.features):
            print("Feature choice list must equal length of feature list")
        for b in range(len(binlist)):
            if binlist[b] == 1:
                activefeatures.append(self.features[b])
        self.activefeatures = activefeatures

    def __repr__(self):
        for f in self.features:
            print(f)
        print("Classification:" + self.classification)


def writePickledData(filename):
    with open(filename, 'wb') as file:
        pickle.dump(set([1, 2, 3]), file)


def readPickledData(filename):
    with open(filename, 'rb') as file:
        x = pickle.load(file)
        print(x)
    return x


def main():
    fv = FeatureVector()
    writePickledData("test.txt")
    readPickledData("test.txt")


if __name__ == '__main__':
    main()