Same Weights, Different Scores

One query is scored against four positions of a sentence, giving the raw score row

$s = \big[\,2.0,\ \ 1.0,\ \ 1.0,\ \ 0.0\,\big]$

Softmax — exponentiate every score, then divide by the total — turns that row into attention weights:

$\mathrm{softmax}(s)_i = \frac{e^{s_i}}{\sum_j e^{s_j}} \qquad \Longrightarrow \qquad \mathrm{softmax}(s) \approx \big[\,0.5344,\ \ 0.1966,\ \ 0.1966,\ \ 0.0723\,\big]$

Below are four other score rows over the same four positions. Exactly one of them produces the identical weight at every position — $0.5344$ on the first, $0.1966$ on the second and third, $0.0723$ on the fourth.

Which row is it?