How to use the pycbc.scheme.schemed function in PyCBC

    @schemed(BACKEND_PREFIX)
    def squared_norm(self):
        """ Return the elementwise squared norm of the array """
        err_msg = "This function is a stub that should be overridden using "
        err_msg += "the scheme. You shouldn't be seeing this error!"
        raise ValueError(err_msg)

    @schemed(BACKEND_PREFIX)
    def abs_max_loc(self):
        """Return the maximum elementwise norm in the array along with the index location"""
        err_msg = "This function is a stub that should be overridden using "
        err_msg += "the scheme. You shouldn't be seeing this error!"
        raise ValueError(err_msg)

@schemed("pycbc.events.threshold_")
def threshold(series, value):
    """Return list of values and indices values over threshold in series.
    """
    err_msg = "This function is a stub that should be overridden using the "
    err_msg += "scheme. You shouldn't be seeing this error!"
    raise ValueError(err_msg)

    @schemed(BACKEND_PREFIX)
    def _getvalue(self, index):
        """Helper function to return a single value from an array. May be very
           slow if the memory is on a gpu.
        """
        err_msg = "This function is a stub that should be overridden using "
        err_msg += "the scheme. You shouldn't be seeing this error!"
        raise ValueError(err_msg)

@schemed("pycbc.waveform.spa_tmplt_")
def spa_tmplt_engine(htilde, kmin, phase_order, delta_f, piM, pfaN,
                     pfa2, pfa3, pfa4, pfa5, pfl5,
                     pfa6, pfl6, pfa7, amp_factor):
    """ Calculate the spa tmplt phase
    """
    err_msg = "This function is a stub that should be overridden using the "
    err_msg += "scheme. You shouldn't be seeing this error!"
    raise ValueError(err_msg)

@schemed("pycbc.waveform.decompress_")
def inline_linear_interp(amp, phase, sample_frequencies, output,
                         df, f_lower, imin, start_index):
    """Generate a frequency-domain waveform via linear interpolation
    from sampled amplitude and phase. The sample frequency locations
    for the amplitude and phase must be the same. This function may
    be less accurate than scipy's linear interpolation, but should be
    much faster.  Additionally, it is 'schemed' and so may run under
    either CPU or GPU schemes.

    This function is not ordinarily called directly, but rather by
    giving the argument 'interpolation' the value 'inline_linear'
    when calling the function 'fd_decompress' below.

    Parameters
    ----------
    amp : array

    @schemed(BACKEND_PREFIX)
    def ptr(self):
        """ Returns a pointer to the memory of this array """
        err_msg = "This function is a stub that should be overridden using "
        err_msg += "the scheme. You shouldn't be seeing this error!"
        raise ValueError(err_msg)

@pycbc.scheme.schemed(BACKEND_PREFIX)
def correlate(x, y, z):
    err_msg = "This function is a stub that should be overridden using the "
    err_msg += "scheme. You shouldn't be seeing this error!"
    raise ValueError(err_msg)

@schemed(BACKEND_PREFIX)
def _scheme_matches_base_array(array):
    """ Check that input matches array type for scheme """
    err_msg = "This function is a stub that should be overridden using the "
    err_msg += "scheme. You shouldn't be seeing this error!"
    raise ValueError(err_msg)

@schemed("pycbc.events.threshold_")
def threshold_and_cluster(series, threshold, window):
    """Return list of values and indices values over threshold in series.
    """
    err_msg = "This function is a stub that should be overridden using the "
    err_msg += "scheme. You shouldn't be seeing this error!"
    raise ValueError(err_msg)