postproc: Add an option_map parameter
* src/tgbaalgos/postproc.cc: Add an option_map parameter, and use to get extra options to pass to the degeneralization algorithm. * src/tgbaalgos/postproc.hh: Adjust prototype, and store Boolean variables for degeneralize() options. * src/bin/ltl2tgba.cc: Add a -x option to fill the option map, and pass it to the postprocessor. * src/bin/man/ltl2tgba.x: Document the three degeneralization options.
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4 changed files with 74 additions and 13 deletions
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@ -24,6 +24,8 @@
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namespace spot
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{
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class option_map;
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/// \addtogroup tgba_reduction
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/// @{
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@ -45,9 +47,9 @@ namespace spot
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/// deterministic automata or small automata. If you don't care,
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/// less post processing will be done.
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///
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/// The set_level() method let you set the optimization level.
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/// Higher level enable more costly postprocessign. For instance
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/// pref=Small,level=High will try two different postprocessings
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/// The set_level() method lets you set the optimization level.
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/// A higher level enables more costly post-processings. For instance
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/// pref=Small,level=High will try two different post-processings
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/// (one with minimize_obligation(), and one with
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/// iterated_simulations()) an keep the smallest result.
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/// pref=Small,level=Medium will only try the iterated_simulations()
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@ -57,10 +59,11 @@ namespace spot
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class postprocessor
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{
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public:
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postprocessor()
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: type_(TGBA), pref_(Small), level_(High)
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{
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}
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/// \brief Construct a postprocessor.
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///
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/// The \a opt argument can be used to pass extra fine-tuning
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/// options used for debugging or benchmarking.
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postprocessor(const option_map* opt = 0);
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enum output_type { TGBA, BA, Monitor };
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void
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@ -76,7 +79,6 @@ namespace spot
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pref_ = pref;
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}
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enum optimization_level { Low, Medium, High };
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void
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set_level(optimization_level level)
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@ -91,6 +93,10 @@ namespace spot
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output_type type_;
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output_pref pref_;
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optimization_level level_;
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// Fine-tuning degeneralization options.
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bool degen_reset;
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bool degen_order;
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bool degen_cache;
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};
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/// @}
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}
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