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from pipe_control.mol_res_spin import generate_spin_string, return_spin, spin_loop
from specific_analyses.relax_disp.data import generate_r20_key, loop_exp_frq
from specific_analyses.relax_disp.variables import MODEL_R2EFF, MODEL_NOREX_R1RHO_FIT_R1MODEL_NOREX_R1RHO, MODEL_DPL94_FIT_R1MODEL_DPL94, MODEL_TP02_FIT_R1MODEL_TP02, MODEL_TAP03_FIT_R1MODEL_TAP03, MODEL_MP05_FIT_R1MODEL_MP05
#########################################
# Define models which have been analysed.
#MODELS = [MODEL_NOREX_R1RHO_FIT_R1MODEL_NOREX_R1RHO MODEL_MP05, MODEL_DPL94_FIT_R1MODEL_DPL94, MODEL_TP02_FIT_R1MODEL_TP02, MODEL_TAP03_FIT_R1MODEL_TAP03, MODEL_MP05_FIT_R1MODEL_MP05]MODELS = [MODEL_NOREX_R1RHO_FIT_R1MODEL_NOREX_R1RHO, MODEL_DPL94_FIT_R1MODEL_DPL94]
# Print results for each model.
from data_store import Relax_data_store; ds = Relax_data_store()
from pipe_control.mol_res_spin import spin_loop
from specific_analyses.relax_disp.variables import MODEL_R2EFF, MODEL_NOREX_R1RHO_FIT_R1MODEL_NOREX_R1RHO, MODEL_DPL94_FIT_R1MODEL_DPL94, MODEL_TP02_FIT_R1MODEL_TP02, MODEL_TAP03_FIT_R1MODEL_TAP03, MODEL_MP05_FIT_R1MODEL_MP05
#########################################
# The models to analyse.
if not hasattr(ds, 'models'):
#ds.models = [MODEL_NOREX_R1RHO_FIT_R1MODEL_NOREX_R1RHO, MODEL_DPL94_FIT_R1MODEL_DPL94, MODEL_TP02_FIT_R1MODEL_TP02, MODEL_TAP03_FIT_R1MODEL_TAP03, MODEL_MP05_FIT_R1MODEL_MP05] ds.models = [MODEL_DPL94_FIT_R1MODEL_DPL94]
# The number of increments per parameter, to split up the search interval in grid search.