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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def from_cap(cls, theta, lwin, clat=None, clon=None, nwin=None, theta_degrees=True, coord_degrees=True, dj_matrix=None, weights=None):
 """ Construct spherical cap localization windows. Usage ----- x = SHWindow.from_cap(theta, lwin, [clat, clon, nwin, theta_degrees, coord_degrees, dj_matrix, weights]) Returns ------- x : SHWindow class instance Parameters theta : float Angular radius of the spherical cap localization domain (default in degrees). lwin : int Spherical harmonic bandwidth of the localization windows. clat, clon : float, optional, default = None Latitude and longitude of the center of the rotated spherical cap localization windows (default in degrees). nwin : int, optional, default (lwin+1)**2 Number of localization windows. theta_degrees : bool, optional, default = True True if theta is in degrees. coord_degrees : bool, optional, default = True True if clat and clon are in degrees. dj_matrix : ndarray, optional, default = None The djpi2 rotation matrix computed by a call to djpi2. weights : ndarray, optional, default = None Taper weights used with the multitaper spectral analyses. """

        if theta_degrees:
            tapers, eigenvalues, taper_order = _shtools.SHReturnTapers(
                _np.radians(theta), lwin)
        else:
            tapers, eigenvalues, taper_order = _shtools.SHReturnTapers(
                theta, lwin)

        return SHWindowCap(theta, tapers, eigenvalues, taper_order,
                           clat, clon, nwin, theta_degrees, coord_degrees,
                           dj_matrix, weights, copy=False)