def _check_loaded_results(self, data):
"""Check if results have been added and check data.
Parameters
----------
data : dict
A dictionary of data that has been added to the object.
"""
# If results loaded, check dimensions of peak parameters
# This fixes an issue where they end up the wrong shape if they are empty (no peaks)
if set(get_obj_desc()['results']).issubset(set(data.keys())):
self.peak_params_ = check_array_dim(self.peak_params_)
self._gaussian_params = check_array_dim(self._gaussian_params)
def _check_loaded_results(self, data, regenerate=True):
"""Check if results added, check data, and regenerate model, if requested.
Parameters
----------
data : dict
The dictionary of data that has been added to the object.
regenerate : bool, optional
Whether to regenerate the power_spectrum model. default : True
"""
# If results loaded, check dimensions of osc/gauss parameters
# This fixes an issue where they end up the wrong shape if they are empty (no oscs)
if set(get_obj_desc()['results']).issubset(set(data.keys())):
self.peak_params_ = check_array_dim(self.peak_params_)
self._gaussian_params = check_array_dim(self._gaussian_params)
# Regenerate power_spectrum model & components
if regenerate:
if np.all(self.freqs) and np.all(self.background_params_):
self._regenerate_model()
