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X= {}
for resolution in RESOLUTIONS:
    X[resolution] = pd.read_csv("./data/refit_data_%d_seconds.csv" % resolution).iloc[:, 2:]

result = []
for experiment in range(N):
    idx = np.random.randint(X[resolution].shape[0], size=2)
    for resolution in RESOLUTIONS:
        for factor in FACTORS:
            x1, x2 = X[resolution].iloc[idx, :].values
            for omega_seconds in [o for o in OMEGA_SECONDS if o >= resolution]:
                omega = int(omega_seconds / resolution)
                print(resolution, factor, omega, omega_seco