code: def set_parameters(self, parameters):
          
          if not isinstance(parameters, np.ndarray):
              parameters = np.asarray(parameters)
  
          # if in two dimensions, flatten with fortran ordering
          if parameters.ndim > 1:
              parameters = parameters.flatten(order='F')
  
          libfn = utils.get_lib_fn('setTransformParameters%s'%self._libsuffix)
          libfn(self.pointer, parameters.tolist())
docs: Set parameters of transform