There are many analogies between the objects $\mathbb F_q[x]$ and $\mathbb Z$.
Supposing there is a fixed (say $10^9$) dimension linear integer program (describable without any objective function) in fixed number of constraints which assists in a deterministic polynomial time algorithm for factoring integers would it say anything about derandomization of $\mathbb F_q[x]$ factoring (the most important step is the case of equal degree factoring https://www.csa.iisc.ac.in/~chandan/courses/CNT/notes/lec8.pdf)?
Fixed dimension integer programming is known to be in $P$ by a result of Lenstra (https://www.jstor.org/stable/3689168).
To be clear assume that the integer program is a simple $\exists x\in\mathbb Z^n:Ax\leq b$ program which has no objective function and produces the factors in one of its variables. We have to set the program, run Lenstra's algorithm and determine the value of a particular variable for a non-trivial possibly composite factor by computing $GCD$ of this variable with the given integer externally to the program after the program is completed. We can reuse the program to completely factor the given integer with the help of $AKS$ algorithm (https://en.wikipedia.org/wiki/AKS_primality_test) for primality.
Essentially would such a set up help over $\mathbb Fq[x]$?
Update A question was raised below on why not just assume $P=BPP$. Since the reply was long for a comment I post the reply as an update. $P=BPP$ relies on still (I believe $100\%$ true but) unproven lower bound on the complexity class $E$ and there is no way known around this. As far as we know the only way to prove $P=BPP$ could be to prove $P=NP$ and no one has dismantled this possibility (and proving deterministic factoring of integers in polynomial time is much easier than $P=NP$ even if both were possible and arguably looking for deterministic factoring of integers in polynomial time (as a way to derandomize $\mathbb F_q[x]$) is much easier than proving the general purpose derandomization statement $P= BPP$ by proving lower bounds against $E$ even if both were possible). This problem is about derandomizing the specific problem of derandomizing equal degree factoring. I do not see any possibility to use such an integer linear program for derandomizing equal degree factoring. Since we believe derandomizing equal degree factoring should be possible and since we believe this to be all the more likely than the more difficult problem of deterministic general purpose integer factoring, I am wondering whether non-transferability of such a deterministic integer program result is barrier to existence of such programs. It is a motivation for the question.