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<source lang="python">
# Python module imports.
import os, stat
# relax module imports.
from specific_analyses.model_free.model pipe_control import determine_model_typepipes
import lib.io
from pipe_control specific_analyses.api import pipesreturn_api
# Read the state with the setup
chi2 = str(cdp.chi2)
tm = str(cdp.diff_tensor.tm)
# Get the api to get number of parameters
api = return_api(pipe_name=pipe_name)
model_loop = api.model_loop
model_desc = api.model_desc
model_statistics = api.model_statistics
for model_info in model_loop():
desc = model_desc(model_info)
# Num_params_(k)
# Num_data_sets_(n)
k_glob, n_glob, chi2_glob = model_statistics(model_info, global_stats=True)
break
k_glob = str(k_glob)
n_glob = str(n_glob)
chi2_glob = str(chi2_glob)
# Append to results
out_results.append([pipe_name_rnd, model, round_i, cdp_iter, chi2, tm, k_glob, n_glob, chi2_glob]) print("\n# Data:") print(out_results[-1])
# Change back to original pipe
# Write the file.
headings = ["pipe_name", "model", "round_i", "cdp_iter", "chi2", "tm", "k_glob_Num_params", "n_glob_Num_data_sets", "chi2_glob"]
lib.io.write_data(out=file, headings=headings, data=out_results)
file.close()
