Some confusion in pecos.utils.smat_utils.binarized

[denghj3]

Description

the func show below, it describe all nonzero elements become 1, while it change the the whole mat to 1 in reality, with using X.data[:] = 1 or X[:] = 1

def binarized(X, inplace=False):
    """Binarize a dense/sparse matrix. All nonzero elements become 1.

    Args:
        X (np.ndarray, spmatrix): input matrix to binarize
        inplace (bool, optional): if True do the binarization in-place, else return a copy. Default False

    Returns:
        binarized X
    """

    if not isinstance(X, (np.ndarray, smat.spmatrix)):
        raise NotImplementedError(
            "this function only support X being np.ndarray or scipy.sparse.spmatrix."
        )

    if not inplace:
        X = X.copy()

    if isinstance(X, smat.spmatrix):
        X.data[:] = 1
    else:
        X[:] = 1

    return X

References

• list reference and related literature
• list known implementations

[denghj3]

i have some ideas: when the X is spmatrix, it is right. But when the X is np.ndarray, it will change the whole ndarray to 1?