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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def word_to_vector_list(self, word, numeric=False, xsampa=False):
 """Return a list of feature vectors, given a Unicode IPA word. Args: word (unicode):
 string in IPA numeric (bool):
 if True, return features as numeric values instead of strings Returns: list: a list of lists of '+'/'-'/'0' or 1/-1/0 """

        if xsampa:
            word = self.xsampa.convert(word)
        tensor = list(map(self.segment_to_vector, self.segs(word)))
        if numeric:
            return self.tensor_to_numeric(tensor)
        else:
            return tensor