4595a8b03d2735f78575a5206717fe1b92ec5d2a,src/gensim/matutils.py,,unitVec,#Any#,47

Before Change

    
    If the input is sparse (list of 2-tuples), output will also be sparse.
    
    if len(vec) == 0:
        return vec
    first = iter(vec).next()
    if isinstance(first, tuple):
        vecLen = 1.0 * math.sqrt(sum(val * val for _, val in vec))
        assert vecLen > 0.0, "sparse documents must not contain any explicit zero entries"

After Change

    If the input is sparse (list of 2-tuples), output will also be sparse. Otherwise,
    output will be a numpy array.
    
    if scipy.sparse.issparse(vec):
        vec = vec.toarray().flatten()
    try:
        first = iter(vec).next()
    except:
        return vec

Instances