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from mtuq .io .clients .AxiSEM_NetCDF import Client as AxiSEM_Client
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import matplotlib .pyplot as plt
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from matplotlib .gridspec import GridSpec
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- from mtuq .graphics import plot_combined , plot_misfit_force
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def result_plots (cmaes_instance , data_list , stations , misfit_list , process_list , db_or_greens_list , max_iter , plot_interval , iter_count , iteration ):
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if (iteration + 1 ) % plot_interval == 0 or iteration == max_iter - 1 or (cmaes_instance .ipop and cmaes_instance .ipop_terminated ):
@@ -24,11 +23,13 @@ def result_plots(cmaes_instance, data_list, stations, misfit_list, process_list,
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# If mode is mt, mt_dev or mt_dc, plot the misfit map
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if cmaes_instance .mode in ['mt' , 'mt_dev' , 'mt_dc' ]:
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- plot_combined (cmaes_instance .event_id + '_combined_misfit_map.png' , result , colormap = 'viridis' , best_vw = (V , W ))
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+ print ("Not implemented yet" )
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+ # plot_combined(cmaes_instance.event_id + '_combined_misfit_map.png', result, colormap='viridis', best_vw=(V, W))
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elif cmaes_instance .mode == 'force' :
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print ('Plotting results for iteration %d\n ' % (iteration + 1 + iter_count ))
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result = cmaes_instance .mutants_logger_list
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- plot_misfit_force (cmaes_instance .event_id + '_misfit_map.png' , result , colormap = 'viridis' , backend = _plot_force_matplotlib , plot_type = 'colormesh' , best_force = cmaes_instance .return_candidate_solution ()[0 ][1 ::])
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+ print ("Not implemented yet" )
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+ # plot_misfit_force(cmaes_instance.event_id + '_misfit_map.png', result, colormap='viridis', backend=_plot_force_matplotlib, plot_type='colormesh', best_force=cmaes_instance.return_candidate_solution()[0][1::])
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def plot_mean_waveforms (cmaes_instance , data_list , process_list , misfit_list , stations , db_or_greens_list , iteration ):
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