Rust tools for Decision-DNNF formulas, including translation, model counting and model enumeration.
Decdnnf-rs is a tool for manipulating Decision-DNNFs produced by d4. It allows queries such as counting models, searching for models under assumptions, or enumeration of solutions, for which it excels. It also provides a tool for translating formulas generated by d4 into the format generated by c2d.
Decdnnf-rs requires a recent version of the Rust toolchain (>= 1.72.1). See rust-lang.org for more information on how to install Rust.
To build from source, run cargo build --release to compile the binary. It will be set in the target/release directory.
The decdnnf-rs tool expects a subcommand. To get the list, just invoke the command with the help flag.
decdnnf_rs -hIn the same way, you can obtain the list of expected and optional arguments by adding the help flag after the subcommand.
decdnnf_rs model-counting -hSome options are common to most commands, like the ones dedicated to input file and logging level.
Another one of interest is --n-vars.
Since the output format of d4 (which is the default input format of decdnnf_rs) does not provide the number of variables of the problems, this number cannot be deduced if it is more important than the highest variable index in use.
Setting --n-vars allows to override the number of variables returned by the parser, which is set to the highest variable index.
Use the translation command:
decdnnf_rs translation -i instance.nnfUse the model-counting command:
decdnnf_rs model-counting -i instance.nnfUse the model-enumeration command:
decdnnf_rs model-enumeration -i instance.nnfThis commands admits multiple options allowing to set the number of variables (in case it is higher than the highest index in the input formula), use a compact output or use an enumeration algorithm based on a decision tree.
Run decdnnf_rs model-enumeration -h for more information.
Decdnnf-rs is developed at CRIL (Univ. Artois & CNRS). It is made available under the terms of the GNU GPLv3 license.