sparse_vector_class.py 文件源码

def __iadd__(self, other):
        # Order of testing is important!
        if isinstance(other, numpy.ndarray):
            self.n = max(self.n, other.shape[0])
            for k in range(other.shape[0]):
                self[k] += other[k]
            return self
        elif isSparseVector(other):
            self.n = max(self.n, other.n)
            inter = filter(self.values.has_key, other.values.keys())
            other_only = filter(lambda x: not self.values.has_key,
                                other.values.keys())
            for k in inter + other_only:
                self[k] += other[k]
            return self
        elif operator.isNumberType(other):
            for k in self.values.keys():
                self[k] += other
            return self
        else:
            raise TypeError("Cannot add to SparseVector")