################################################################################ # The parameter file defines the set of user parameters needed to run geobipy. parameter_file = "tempest_options" ################################################################################ # # Here are the contents of the user parameter file. with open(parameter_file, 'r') as f: print(f.read()) ################################################################################ # To run geobipy in serial, simply call that function. # Here we specify index 0 to only carry out a shortened inversion of a single # data point for time considerations. # You will notice however that the HDF files are created for multiple lines # inside the data file. serial_geobipy(parameter_file, output_directory, index=0) #%% # Plotting the results for a single data point # ++++++++++++++++++++++++++++++++++++++++++++ # # For the sake of plotting, we refer to a previously completed inversion. # For space considerations we do not include those HDF files in this repository # and simply use them for plotting. ################################################################################ results_3d = Inference3D(directory=output_directory, system_file_path="..//..//supplementary//data") ################################################################################ # We can grab the results for a single index or fiducial results_1d = results_3d.inference_1d(fiducial=results_3d.lines[3].fiducials[0])
################################################################################ # The parameter file defines the set of user parameters needed to run geobipy. parameter_file = "resolve_options" ################################################################################ # Here are the contents of the user parameter file. # with open(parameter_file, 'r') as f: # print(f.read()) ################################################################################ # To run geobipy in serial, simply call that function. # Here we specify index 0 to only carry out a shortened inversion of a single # data point for time considerations. # You will notice however that the HDF files are created for multiple lines # inside the data file. serial_geobipy(parameter_file, "./test", index=0) #%% # Plotting the results for a single data point # ++++++++++++++++++++++++++++++++++++++++++++ # # For the sake of plotting, we refer to a previously completed inversion. # For space considerations we do not include those HDF files in this repository # and simply use them for plotting. ################################################################################ results_3d = Inference3D(directory="./test", system_file_path="..//..//supplementary//data") ################################################################################ # We can grab the results for a single index or fiducial
################################################################################ # The parameter file defines the set of user parameters needed to run geobipy. parameter_file = "skytem_options" ################################################################################ # Here are the contents of the user parameter file. # with open(parameter_file, 'r') as f: # print(f.read()) ################################################################################ # To run geobipy in serial, simply call that function. # Here we specify index 0 to only carry out a shortened inversion of a single # data point for time considerations. # You will notice however that the HDF files are created for multiple lines # inside the data file. serial_geobipy(parameter_file, './test', index=0, seed=10) #%% # Plotting the results for a single data point # ++++++++++++++++++++++++++++++++++++++++++++ # # For the sake of plotting, we refer to a previously completed inversion. # For space considerations we do not include those HDF files in this repository # and simply use them for plotting. ################################################################################ results_3d = Inference3D(directory='./test', system_file_path="..//..//supplementary//Data") ################################################################################ # We can grab the results for a single index or fiducial