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More importantly, we can compute how many situations arise in which a given block can cast the *deciding vote*. E. g., given voting blocks [1, 2, 3, 4], to determine the number of times the last block casts the deciding vote, we observe that: - there are a total of eight ways in which blocks 1, 2, and 3 can vote: 1. 1 2 3 (for) vs. 0 (against) 2. 1 2 (for) vs. 3 (against) 3. 1 3 (for) vs. 2 (against) 4. 1 (for) vs. 2 3 (against) 5. 2 3 (for) vs. 1 (against) 6. 2 (for) vs. 1 3 (against) 7. 3 (for) vs. 1 2 (against) 8. 0 (for) vs. 1 2 3 (against) - in cases 2-7, the last voter (with a block of 4 votes) can cause the result to swing one way or the other (or end in a tie); we therefore say that the last block has the deciding vote in *6* cases If you repeat the analysis for blocks 1, 2, and 3, you'll find that they are the deciding voters in 2, 4, and 4 cases, respectively (meaning that the blocks with 2 and 3 votes are equally important!). You are to implement the function `deciding_votes_per_block`, which will take a list of voting blocks and return a list of times that each block is the deciding vote. You should define a separate recursive function (in the same cell) that computes the number of deciding votes given a particular block.

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