# Constructed data: 5 WT and 5 KO mice, 4 neurons per mouse, 200 mEPSCs per neuron. By design WT and KO have the same typical
# amplitude (15 pA). Python 3.13, NumPy, pandas. Seed 1, the first one tried.
import numpy as np, pandas as pd
from model import study
rng = np.random.default_rng(1)
rows = [(g, m, c, round(float(a), 2)) for g, m, c, amp in study(rng) for a in amp]
pd.DataFrame(rows, columns=["genotype", "mouse", "cell", "amplitude_pA"]).to_csv("mepsc.csv", index=False)