code: def move_grid_to_radial_minimum(func):
      
  
      @wraps(func)
      def wrapper(profile, grid, *args, **kwargs):
          """
  
          Parameters
          ----------
          profile : SphericalProfile
              The profiles that owns the function
          grid : ndarray
              PlaneCoordinates in either cartesian or profiles coordinate system
          args
          kwargs
  
          Returns
          -------
              A value or coordinate in the same coordinate system as those passed in.
          """
          radial_minimum_config = conf.NamedConfig(f"{conf.instance.config_path}/radial_minimum.ini")
          grid_radial_minimum = radial_minimum_config.get("radial_minimum", profile.__class__.__name__, float)
          with np.errstate(all='ignore'):  # Division by zero fixed via isnan
              grid_radii = profile.grid_to_grid_radii(grid=grid)
              grid_radial_scale = np.where(grid_radii < grid_radial_minimum, grid_radial_minimum / grid_radii, 1.0)
              grid = np.multiply(grid, grid_radial_scale[:, None])
          grid[np.isnan(grid)] = grid_radial_minimum
          return func(profile, grid, *args, **kwargs)
  
      return wrapper
docs: Checks whether any coordinates in the grid are radially near (0.0, 0.0), which can lead to numerical faults in \
      the evaluation of a light or mass profiles. If any coordinates are radially within the the radial minimum \
      threshold, their (y,x) coordinates are shifted to that value to ensure they are evaluated correctly.
  
      By default this radial minimum is not used, and users should be certain they use a value that does not impact \
      results.
  
      Parameters
      ----------
      func : (profile, *args, **kwargs) -> Object
          A function that takes a grid of coordinates which may have a singularity as (0.0, 0.0)
  
      Returns
      -------
          A function that can except cartesian or transformed coordinates