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Add deepcopy in list build. Closes #127 #128

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KriFos1 merged 2 commits into from
Feb 14, 2026
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Add deepcopy in list build. Closes #127 #128

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12a6fe6
Add deepcopy in list build. Closes #127
KriFos1 Feb 14, 2026
9a658d6
Store dictionaries after assimilation.Closes #129
KriFos1 Feb 14, 2026
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2 changes: 1 addition & 1 deletion ensemble/ensemble.py
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Original file line number Diff line number Diff line change
Expand Up @@ -260,7 +260,7 @@ def calc_prediction(self, enX=None, save_prediction=None):
en_pred = []
pbar = tqdm(enumerate(enX), total=self.ne, **progbar_settings)
for member_index, state in pbar:
en_pred.append(self.sim.run_fwd_sim(state, member_index))
en_pred.append(deepcopy(self.sim.run_fwd_sim(state, member_index)))

# Parallelization on HPC using SLURM
elif self.sim.input_dict.get('hpc', False): # Run prediction in parallel on hpc
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4 changes: 2 additions & 2 deletions pipt/loop/assimilation.py
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Expand Up @@ -217,11 +217,11 @@ def run(self):
# always store posterior forcast and state, unless specifically told not to
if 'nosave' not in self.ensemble.keys_da:
try: # first try to save as npz file
np.savez(f'{self.save_folder}/posterior_state_estimate.npz', **self.ensemble.enX)
np.savez(f'{self.save_folder}/posterior_state_estimate.npz', **entools.matrix_to_dict(self.ensemble.enX, self.ensemble.idX))
np.savez(f'{self.save_folder}/posterior_forecast.npz', **{'pred_data': self.ensemble.pred_data})
except: # If this fails, store as pickle
with open(f'{self.save_folder}/posterior_state_estimate.p', 'wb') as file:
pickle.dump(self.ensemble.enX, file)
pickle.dump(entools.matrix_to_dict(self.ensemble.enX, self.ensemble.idX), file)
with open(f'{self.save_folder}/posterior_forecast.p', 'wb') as file:
pickle.dump(self.ensemble.pred_data, file)

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