LADR-Teaching
Category
Other
Program On
Teaching
Version
2009-11A
Author / Distributor
Please see https://www.cs.unm.edu/~mccune/mace4/
Description
LADR is a command-line version of Prover9, Mace4, and other programs. Prover9 is an automated theorem prover for first-order and equational logic, and Mace4 searches for finite models and counterexamples. For more information, please see https://www.cs.unm.edu/~mccune/mace4/
Running Program
- Version 2009-11A version is installed at /usr/local/apps/gb/LADR/2009-11A/
To use this version, please load the module with
ml LADR/2009-11A
Here is an example of a shell script, sub.sh, to run on the batch queue:
#!/bin/bash
#SBATCH --job-name=j_ladr
#SBATCH --partition=batch
#SBATCH --mail-type=ALL
#SBATCH --mail-user=username@uga.edu
#SBATCH --ntasks=1
#SBATCH --mem=2gb
#SBATCH --time=08:00:00
#SBATCH --output=LDAR.%j.out
#SBATCH --error=LDAR.%j.err
cd $SLURM_SUBMIT_DIR
ml LADR/2009-11A
prover9 [options]
where [options] need to be replaced by the options you want to use.
In the real submission script, at least all the above underlined values need to be reviewed or to be replaced by the proper values.
Please refer to Running_Jobs_on_the_teaching_cluster, Run X window Jobs and Run interactive Jobs for more details of running jobs at Teaching cluster.
Here is an example of job submission command:
sbatch ./sub.sh
Documentation
[shtsai@c1-2 ~]$ ml LADR/2009-11A [shtsai@c1-2 ~]$ prover9 -h ============================== Prover9 =============================== Prover9 (64) version 2009-11A, November 2009. Process 30037 was started by shtsai on c1-2.ecompute, Tue Aug 27 16:15:12 2019 The command was "prover9 -h". ============================== end of head =========================== Usage: prover9 [-h] [-x] [-p] [-t <n>] [-f <files>] -h Help. Also see http://www.cs.unm.edu/~mccune/prover9/ -x set(auto2). (enhanced auto mode) -p Fully parenthesize output. -t n assign(max_seconds, n). (overrides ordinary input) -f files Take input from files instead of from standard input.
Installation
Source code is obtained from https://www.cs.unm.edu/~mccune/mace4/download/
System
64-bit Linux