work_dir = main_work_dir.format(''.join(['t', str(itime)]))
out_temp = [] #output_xy
if not os.path.isdir(work_dir):
os.makedirs(work_dir)
out_fwd_dirs.append(work_dir)
r2_dict = {
'survey_name': survey_name,
'survey_dir': work_dir,
'job_type': job_type,
'exe_dir': exe_dir,
'exe_name': 'R2.exe'
}
iR2 = r2_tools.R2(**r2_dict)
r2_in_dict = {
'electrode_array': electrode_array,
'output_domain': out_temp,
'mesh_type': mesh_type,
'reg_elems': region_elems,
'res_matrix': 0,
'singular_type': 0,
'node_dict': node_dict
}
protocol_dict = {'meas_data': protocol_data}
# ------------- Run R2 forward model ----------------
run_r2_dict = {
'zone': True
}
},
'topo_correct': True,
'topo_dict': topo_dict
}
mr2.msh_to_dat(**to_dat_dict)
#%% ############ Prepare R2 files ##############
r2_dict = {
'survey_name': os.path.basename(stg_fname).split('.')[0],
'survey_dir': work_dir,
'job_type': 1,
'exe_dir': exe_dir,
'exe_name': 'R2.exe'
}
iR2 = r2_tools.R2(**r2_dict)
# Define inversion output domain as foreground area
foreground_nodes = np.hstack([
mr2.boundaries['foreground'][ikey][0]
for ikey in mr2.boundaries['foreground']['order']
])
foreground_nodes = np.hstack([foreground_nodes, foreground_nodes[0]])
foreground_xy = np.array(
[mr2.mesh_dict['nodes'][inode - 1][:2] for inode in foreground_nodes])
mesh_type = 3
inv_options = {'a_wgt': 1e-2, 'error_mod': 2, 'inverse_type': 1}
r2_in_dict = {
'electrode_array': mr2.electrode_array,
'output_domain': foreground_xy,
