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use biodivine_lib_param_bn::biodivine_std::traits::Set;
use biodivine_lib_param_bn::symbolic_async_graph::SymbolicAsyncGraph;
use biodivine_lib_param_bn::BooleanNetwork;
use std::convert::TryFrom;
fn main() {
let args = std::env::args().collect::<Vec<_>>();
let buffer = std::fs::read_to_string(&args[1]).unwrap();
let model = BooleanNetwork::try_from(buffer.as_str()).unwrap();
let stg = SymbolicAsyncGraph::new(model.clone()).unwrap();
let mut universe = stg.mk_unit_colored_vertices();
while !universe.is_empty() {
let mut set = universe.pick_vertex();
'bwd: loop {
println!(
"BWD progress: {} {}",
set.symbolic_size(),
set.approx_cardinality()
);
for var in model.variables().rev() {
let step = stg.var_pre_out(var, &set);
if !step.is_empty() {
set = set.union(&step);
continue 'bwd;
}
}
break 'bwd;
}
'fwd: loop {
println!(
"FWD progress: {} {}",
set.symbolic_size(),
set.approx_cardinality()
);
for var in model.variables().rev() {
let step = stg.var_post_out(var, &set);
if !step.is_empty() {
set = set.union(&step);
continue 'fwd;
}
}
break 'fwd;
}
universe = universe.minus(&set);
println!("Remaining: {}", universe.approx_cardinality());
}
}