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

Before Change

    logger.debug("constructing sparse document matrix")
    // construct the sparse matrix as lil_matrix first, convert to csc later
    // lil_matrix can quickly update rows, so initialize it transposed (documents=rows)
    mat = scipy.sparse.lil_matrix((1, 1), dtype = dtype)
    mat.rows, mat.data = [], []
    for i, doc in enumerate(corpus):
        doc = sorted(doc)
        mat.rows.append([fid for fid, _ in doc])
        mat.data.append([val for _, val in doc])
    docs = i + 1
    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

        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