spike-imperial/fastlas

fastlas's Issues

Unable to Run "policy_learning" Task with Precompiled FastLAS2 and Slow Execution with FastLAS v1.0.4

Hello!

I am experiencing issues with running the policy_learning task. Initially, I tried using the precompiled FastLAS2, but it failed to execute this task. As an alternative, I switched to the precompiled FastLAS v1.0.4. While most tasks run successfully with this version, I am encountering a significant long-time execution. Notably, I've been running ./full_cross_validation.rb amazon accept cov for 24 hours, but I still haven't obtained the result from even the first round. I'm curious to know if this is considered normal.

Environment:

• CPU: Intel(R) Xeon(R) Gold 6242 CPU @ 2.80GHz
• CPU(s): 64, Thread(s) per core: 2, Core(s) per socket: 16
• RAM: 125GB
• Ubuntu 20.04
• Ruby 2.7
• Clingo 5.3.0

Unknown token: '#'

Whenever I try to run FastLAS on the CAVIAR examples (or any other example) it returns either UNSATISFIABLE% or Unknown token: '#'.

Could someone help me?
Example:

FastLAS --opl FastLAS1/data/CAVIAR/files/las__fold_0_FastLAS

how to compute the fn of chunking task?

compilation of FastLAS2

Hi!

I would like to compile FastLAS2 on my machine, but get the following error:

$ make                                                                                                                                                                                                                                                                            [dcefbc9]
[  4%] Building CXX object CMakeFiles/FastLAS_LIB.dir/.parser.cpp.o
cc1plus: error: too many filenames given; type ‘cc1plus --help’ for usage
cc1plus: fatal error: CMakeFiles/FastLAS_LIB.dir/.parser.cpp.d: No such file or directory
compilation terminated.
make[2]: *** [CMakeFiles/FastLAS_LIB.dir/build.make:87: CMakeFiles/FastLAS_LIB.dir/.parser.cpp.o] Error 1
make[1]: *** [CMakeFiles/Makefile2:111: CMakeFiles/FastLAS_LIB.dir/all] Error 2
make: *** [Makefile:91: all] Error 2

Do you know how I can fix that?

Thanks!