This repository contains the software QSynt accompanying the paper "Program Synthesis for the OEIS". The preprint is available here.
Solutions found during a training run can be inspected in the file
result/full_prog.
Try the Web interface
http://grid01.ciirc.cvut.cz/~thibault/synt.html
Install on the Ubuntu OS a modified HOL (required)
In your /home/your_username directory:
sudo apt install rlwrap
sudo apt install polyml
git clone https://github.com/HOL-Theorem-Prover/HOL
cd HOL
git checkout 0782c4413311d5debebda3f2e6cac9560911cb64
poly < "tools/smart-configure.sml"
cat tools/sequences/kernel tools/sequences/core-theories > shortseq
bin/build --seq=shortseq
Edit your .bashrc (or .bash_aliases) by adding the following line: PATH=/home/your_username/HOL/bin:$PATH
Install oeis-synthesis:
In this directory, edit the file dir.sml by replacing the value of
val selfdir = "/home/thibault/oeis-synthesis" by
val selfdir = "the_directory_where_this_file_is_located".
Save the file and run in this directory:
Holmake
Test oeis-synthesis (requires 10GB of ram to run with a timeout of 600.0 seconds):
In this directory:
rlwrap hol
load "synt"; open synt;
val _ = synt 60.0 16 [1,2,4,8,16];
val _ = synt 30.0 16 [2,4,8,16,32];
val _ = synt 20.0 16 [1,2,3,4];
Choose the sequence you desire to look for instead of [1,2,4,8,16] and you may set the timeout to another value than 60.0 seconds. The second argument (16) precises the number of generated numbers (predictions).
You can set the following flag to prevent polynomial normalization of the program:
kernel.polynorm_flag := false;
Train oeis-syntheis (requires 200GB of ram and 20 cores):
In this directory:
rlwrap hol
load "mcts"; open mcts;
expname := "your_experiment_name";
time_opt := SOME 600.0;
(* use_mkl := true; if you have installed mkl *)
rl_search "" 0;
Install MKL libary (optional for faster training)
Downloading/Installing MKL:
Ubuntu 20.04: sudo apt install intel-mkl
Ubuntu 18.04: https://github.com/eddelbuettel/mkl4deb
Initializing bash variables:
export LD_LIBRARY_PATH=/opt/intel/mkl/lib/intel64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=/opt/intel/lib/intel64:$LD_LIBRARY_PATH
sh /opt/intel/mkl/bin/mklvars.sh intel64
In the tnn_in_c directory and run:
gcc -o tree tree.c -DMKL_ILP64 -m64 -I/opt/intel/mkl/include -L/opt/intel/lib/intel64 -L/opt/intel/mkl/lib/intel64 -Wl,--no-as-needed -lmkl_intel_ilp64 -lmkl_intel_thread -lmkl_core -liomp5 -lpthread -lm -ldl