import numpy as np

scores = np.array([35, 72, 88, 41, 93])

low_score = scores < 50
adjusted = np.where(low_score, 50, scores)
labels = np.where(scores >= 70, "pass", "review")

in_place = scores.copy()
in_place[low_score] = 50

print("scores:", scores)
print("low score mask:", low_score)
print("np.where adjusted:", adjusted)
print("mask assignment adjusted:", in_place)
print("labels:", labels)
print("changed positions:", np.flatnonzero(adjusted != scores))
print("source unchanged:", np.array_equal(scores, np.array([35, 72, 88, 41, 93])))
print("methods match:", np.array_equal(adjusted, in_place))