Optimization over integer -way tables with given line-sums is NP-hard already for fixed , but is polynomial time solvable with both fixed. In the {\em huge} version of the problem, the variable dimension is encoded in {\em binary}, with {\em layer types}. It was recently shown that the huge problem can be solved in polynomial time for fixed , and the complexity of the problem for variable was raised as an open problem. Here we solve this problem and show that the huge table problem can be solved in polynomial time even when the number of types is {\em variable}. The complexity of the problem over -way tables with variable remains open. Our treatment goes through the more general class of {\em huge -fold integer programming problems}. We show that huge integer programs over -fold products of totally unimodular matrices can be solved in polynomial time even when the number of brick types is variable.

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