Wed, 22 Apr 2026 23:46:40 -0500
Add packaging script, remove alg_tools, measures, and pointsource_pde installation instruction from README.
#!.venv/bin/python3 import argparse import csv from pathlib import Path import numpy as np from plot import find_files def extract_aux(prefix): iter_files = find_files(prefix) init_filename = "%s/init_aux.csv" % Path(prefix).parent filename = "%s/res_aux.csv" % prefix # Do true and noisy values initdata = [ [ "k_true", "c1_true", "c2_true", "k_noisy", "c1_noisy", "c2_noisy", ] ] data0 = np.load("%s/omega_0.npz" % Path(prefix).parent) k_true = data0["k_true"] c1_true = data0["c1_true"] c2_true = data0["c2_true"] initdata.append( [ k_true, c1_true, c2_true, data0["k_noisy"], data0["c1_noisy"], data0["c2_noisy"], ] ) with open(init_filename, mode="w", newline="") as file: # Create a csv.writer object writer = csv.writer(file, delimiter="\t") # Write data to the CSV file writer.writerows(initdata) # Do reconstructed values auxdata = [ [ "iter", "k", "c1", "c2", "k_dist", "c_dist", ] ] for iter, file in iter_files: d = np.load(file) k = d["k"] c1 = d["c1"] c2 = d["c2"] k_dist = np.abs(k - k_true) c_dist = np.sqrt((c1 - c1_true) ** 2 + (c2 - c2_true) ** 2) auxdata.append([iter, k, c1, c2, k_dist, c_dist]) # Open the file in write mode with open(filename, mode="w", newline="") as file: # Create a csv.writer object writer = csv.writer(file, delimiter="\t") # Write data to the CSV file writer.writerows(auxdata) def main(): parser = argparse.ArgumentParser( prog="extract_aux.py", description="Extract auxiliary parameters from pointsource_pde", ) parser.add_argument("filename") args = parser.parse_args() extract_aux(args.filename) if __name__ == "__main__": main()