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Instance Identification, Feature Extraction, and Problem Transformation

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GBDC: Global Benchmark Database, C++ Extension Module

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GBDC provides efficient implementations of functions for benchmark instance identification, instance feature extraction and instance transformation. GBDC provides a command-line tool as well as the Python package gbdc. The Python package gbdc is used by Global Benchmark Database.

GBDC provides benchmark instance identifiers, feature extractors, and instance transformers for several problem domains, including propositional satisfiability (SAT) and optimization (MaxSAT), as well as Pseudo-Boolean Optimization (PBO). A description of the supported domains, feature extractors, and instance transformers can be found in the documentation.

Installation from PyPI

  • Pre-built distributions for Linux and MacOS.
  • Requires at least Python 3.8.0 (3.10.0 for Apple Silicon).
  • Installation via pip install gbdc

Installation from Source

  • GBDC uses libarchive for reading from a large variety of compressed formats (in some systems provided by the package libarchive-dev).
  • Some GBDC functions use an IPASIR SAT Solver. GBDC's build-system pulls the external SAT Solver CaDiCaL by A. Biere (MIT licensed).

Steps:

  1. Install libarchive

    • For Ubuntu: apt install libarchive-dev
    • For macOS: brew install libarchive
  2. Run the installation script install-pymod.sh within the repository directory.

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