| This repository contains the software QSynt accompanying the paper "Program Synthesis for the OEIS". The preprint is available [here](https://arxiv.org/abs/2202.11908). | |
| 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 | |
| ``` | |