import sys
import numpy as np
n_samples = int(sys.argv[1])
n_features = int(sys.argv[2])
seed = int(sys.argv[3]) if len(sys.argv) > 3 else 0
rng = np.random.default_rng(seed)
counts = rng.integers(1, 1000, size=(n_samples, n_features))
cols = [f"f{j}" for j in range(n_features)]
sys.stdout.write("\t" + "\t".join(cols) + "\n")
for i in range(n_samples):
sys.stdout.write(f"s{i}\t" + "\t".join(str(int(v)) for v in counts[i]) + "\n")