def conj(self, out=None):
        """Complex conjugate of this element.

        Parameters
        ----------
        out : `DiscreteLpElement`, optional
            Element to which the complex conjugate is written.
            Must be an element of this element's space.

        Returns
        -------
        out : `DiscreteLpElement`
            The complex conjugate element. If ``out`` is provided,
            the returned object is a reference to it.

        Examples
        --------
        >>> discr = uniform_discr(0, 1, 4, dtype=complex)
        >>> x = discr.element([5+1j, 3, 2-2j, 1j])
        >>> y = x.conj()
        >>> print(y)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]

        The out parameter allows you to avoid a copy:

        >>> z = discr.element()
        >>> z_out = x.conj(out=z)
        >>> print(z)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]
        >>> z_out is z
        True

        It can also be used for in-place conjugation:

        >>> x_out = x.conj(out=x)
        >>> print(x)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]
        >>> x_out is x
        True
        """
        if out is None:
            return self.space.element(self.tensor.conj())
        else:
            self.tensor.conj(out=out.tensor)
            return out
Complex conjugate of this element.

        Parameters
        ----------
        out : `DiscreteLpElement`, optional
            Element to which the complex conjugate is written.
            Must be an element of this element's space.

        Returns
        -------
        out : `DiscreteLpElement`
            The complex conjugate element. If ``out`` is provided,
            the returned object is a reference to it.

        Examples
        --------
        >>> discr = uniform_discr(0, 1, 4, dtype=complex)
        >>> x = discr.element([5+1j, 3, 2-2j, 1j])
        >>> y = x.conj()
        >>> print(y)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]

        The out parameter allows you to avoid a copy:

        >>> z = discr.element()
        >>> z_out = x.conj(out=z)
        >>> print(z)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]
        >>> z_out is z
        True

        It can also be used for in-place conjugation:

        >>> x_out = x.conj(out=x)
        >>> print(x)
        [ 5.-1.j,  3.-0.j,  2.+2.j,  0.-1.j]
        >>> x_out is x
        True