8a573aac88f55305aceec84086e30f8b883a4bcb,scipy/sparse/construct.py,,block_diag,#Any#Any#Any#,628

Before Change

        else:
            a = csr_matrix(a)
        nrows, ncols = a.shape
        for r in range(nrows):
            for c in range(ncols):
                row.append(r + r_idx)
                col.append(c + c_idx)
                data.append(a[r, c])
        r_idx = r_idx + nrows
        c_idx = c_idx + ncols
    return coo_matrix((data, (row, col)), dtype=dtype).asformat(format)

After Change

        if isinstance(a, (list, numbers.Number)):
            a = csr_matrix(a)
        nrows, ncols = a.shape
        for r, c in zip(*a.nonzero()):
            row.append(r + r_idx)
            col.append(c + c_idx)
            data.append(a[r, c])
        r_idx = r_idx + nrows
        c_idx = c_idx + ncols
    return coo_matrix((data, (row, col)),
                      shape=(r_idx, c_idx),

Instances