Thomas Gummerer authored Sep 13, 2018 and Junio C Hamano committed Sep 14, 2018

Currently the 'compute_assignment()' function may read memory out
of bounds, even if used correctly.  Namely this happens when we only
have one column.  In that case we try to calculate the initial
minimum cost using '!j1' as column in the reduction transfer code.
That in turn causes us to try and get the cost from column 1 in the
cost matrix, which does not exist, and thus results in an out of
bounds memory read.

In the original paper [1], the example code initializes that minimum
cost to "infinite".  We could emulate something similar by setting the
minimum cost to INT_MAX, which would result in the same minimum cost
as the current algorithm, as we'd always go into the if condition at
least once, except when we only have one column, and column_count thus
equals 1.

If column_count does equal 1, the condition in the loop would always
be false, and we'd end up with a minimum of INT_MAX, which may lead to
integer overflows later in the algorithm...