import numpy as np

scores = np.array([48, 52, 60, 67, 71, 74, 88, 95, 100, 102])
bin_edges = np.array([50, 60, 70, 80, 90, 100])

counts, edges = np.histogram(scores, bins=bin_edges)
inside_edges = (scores >= edges[0]) & (scores <= edges[-1])

print("bin edges:", edges)
print("counts:", counts)
print("samples inside edges:", int(inside_edges.sum()))
print("histogram total:", int(counts.sum()))
print("samples outside edges:", int(scores.size - inside_edges.sum()))
print("final bin includes 100:", bool(counts[-1] == 2))