cac5f014c09193f7a5ad6b71e4012defa0a96baa,src/gensim/matutils.py,,corpus2csc,#Any#Any#Any#,24

Before Change

    mat._shape = (docs, m)
    mat = mat.tocsr().transpose() // transpose back to documents=columns
    assert isinstance(mat, scipy.sparse.csc_matrix)
    return mat


def pad(mat, padRow, padCol):

After Change

    with documents as columns.
    
    logger.debug("constructing sparse document matrix")
    docs, data, indices, indptr = 0, [], [], [0]
    for doc in corpus:
        indptr.append(len(doc))
        indices.extend([feature_id for feature_id, _ in doc])
        data.extend([feature_weight for _, feature_weight in doc])
        docs += 1
    indptr = numpy.cumsum(indptr)
    data = numpy.asarray(data)
    indices = numpy.asarray(indices)
    return scipy.sparse.csc_matrix((data, indices, indptr), shape = (num_terms, docs), dtype = dtype)


def pad(mat, padRow, padCol):

Instances