import stormpy
import stormpy.logic
from helpers.helper import get_example_path
import pytest


class TestSparseModel:
    def test_build_dtmc_from_prism_program(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        model = stormpy.build_model(program)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseDtmc

    def test_build_dtmc_from_prism_program_formulas(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "P=? [F \"one\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_model(program, properties)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert len(model.reward_models) == 0
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseDtmc

    def test_build_dtmc_from_prism_program_reward_formulas(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "R=? [F \"done\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_model(program, properties)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert len(model.reward_models) == 1
        assert not model.reward_models["coin_flips"].has_state_rewards
        assert model.reward_models["coin_flips"].has_state_action_rewards
        for reward in model.reward_models["coin_flips"].state_action_rewards:
            assert reward == 1.0 or reward == 0.0
        assert not model.reward_models["coin_flips"].has_transition_rewards
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseDtmc

    def test_reduce_to_state_based_rewards(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "R=? [F \"done\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_model(program, properties)
        model.reduce_to_state_based_rewards()
        assert len(model.reward_models) == 1
        assert model.reward_models["coin_flips"].has_state_rewards
        assert not model.reward_models["coin_flips"].has_state_action_rewards
        for reward in model.reward_models["coin_flips"].state_rewards:
            assert reward == 1.0 or reward == 0.0
        assert not model.reward_models["coin_flips"].has_transition_rewards

    def test_build_dtmc_from_jani_model(self):
        jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
        model = stormpy.build_model(jani_model)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseDtmc

    def test_build_dtmc_with_undefined_constants(self):
        jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
        assert jani_model.has_undefined_constants
        assert not jani_model.undefined_constants_are_graph_preserving
        with pytest.raises(stormpy.StormError):
            model = stormpy.build_model(jani_model)

    def test_build_instantiated_dtmc(self):
        jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
        assert jani_model.has_undefined_constants
        assert not jani_model.undefined_constants_are_graph_preserving
        description = stormpy.SymbolicModelDescription(jani_model)
        constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
        instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
        model = stormpy.build_model(instantiated_jani_model)
        assert model.nr_states == 677
        assert model.nr_transitions == 867
        assert model.model_type == stormpy.ModelType.DTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseDtmc

    def test_build_mdp(self):
        program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
        model = stormpy.build_model(program, formulas)
        assert model.nr_states == 169
        assert model.nr_transitions == 435
        assert model.model_type == stormpy.ModelType.MDP
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseMdp

    def test_build_ctmc(self):
        program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
        model = stormpy.build_model(program)
        assert model.nr_states == 12
        assert model.nr_transitions == 22
        assert model.model_type == stormpy.ModelType.CTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseCtmc
        model_for_formula = stormpy.build_model(program, formulas)
        assert model_for_formula.nr_states == 12
        assert model_for_formula.nr_transitions == 21
        assert model_for_formula.model_type == stormpy.ModelType.CTMC
        assert not model_for_formula.supports_parameters
        assert type(model_for_formula) is stormpy.SparseCtmc

    def test_build_pomdp(self):
        program = stormpy.parse_prism_program(get_example_path("pomdp", "maze_2.prism"))
        formulas = stormpy.parse_properties_for_prism_program("P=? [F \"goal\"]", program)
        model = stormpy.build_model(program, formulas)
        assert model.nr_states == 15
        assert model.nr_observations == 8

    def test_build_ma(self):
        program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"), False, True)
        formulas = stormpy.parse_properties_for_prism_program("Pmax=? [ F<=2 s=2 ]", program)
        model = stormpy.build_model(program, formulas)
        assert model.nr_states == 4
        assert model.nr_transitions == 7
        assert model.model_type == stormpy.ModelType.MA
        assert not model.supports_parameters
        assert type(model) is stormpy.SparseMA

    def test_convert_ma_to_ctmc(self):
        program = stormpy.parse_prism_program(get_example_path("ma", "ctmc.ma"), True)
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 s=2 ]", program)
        model = stormpy.build_model(program, formulas)
        assert model.nr_states == 4
        assert model.nr_transitions == 6
        assert model.model_type == stormpy.ModelType.MA
        assert type(model) is stormpy.SparseMA

        assert model.convertible_to_ctmc
        ctmc = model.convert_to_ctmc()
        assert ctmc.nr_states == 4
        assert ctmc.nr_transitions == 6
        assert ctmc.model_type == stormpy.ModelType.CTMC
        assert type(ctmc) is stormpy.SparseCtmc

    def test_initial_states(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"one\" ]", program)
        model = stormpy.build_model(program, formulas)
        initial_states = model.initial_states
        assert len(initial_states) == 1
        assert 0 in initial_states

    def test_choice_origins(self):
        program, _ = stormpy.parse_jani_model(get_example_path("dtmc", "die.jani"))
        a = stormpy.FlatSet()

        options = stormpy.BuilderOptions()
        options.set_build_with_choice_origins()
        model = stormpy.build_sparse_model_with_options(program, options)
        a = model.choice_origins.get_edge_index_set(3)

class TestSymbolicSylvanModel:
    def test_build_dtmc_from_prism_program(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        model = stormpy.build_symbolic_model(program)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanDtmc

    def test_build_dtmc_from_prism_program_formulas(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "P=? [F \"one\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_symbolic_model(program, properties)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert len(model.reward_models) == 0
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanDtmc

    def test_build_dtmc_from_prism_program_reward_formulas(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "R=? [F \"done\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_symbolic_model(program, properties)
        assert model.nr_states == 13
        assert model.nr_transitions == 20
        assert model.model_type == stormpy.ModelType.DTMC
        assert len(model.reward_models) == 1
        assert not model.reward_models["coin_flips"].has_state_rewards
        assert model.reward_models["coin_flips"].has_state_action_rewards
        assert not model.reward_models["coin_flips"].has_transition_rewards
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanDtmc

    def test_reduce_to_state_based_rewards(self):
        program = stormpy.parse_prism_program(get_example_path("dtmc", "die.pm"))
        prop = "R=? [F \"done\"]"
        properties = stormpy.parse_properties_for_prism_program(prop, program, None)
        model = stormpy.build_symbolic_model(program, properties)
        model.reduce_to_state_based_rewards()
        assert len(model.reward_models) == 1
        assert model.reward_models["coin_flips"].has_state_rewards
        assert not model.reward_models["coin_flips"].has_state_action_rewards
        assert not model.reward_models["coin_flips"].has_transition_rewards

    def test_build_dtmc_from_jani_model(self):
        jani_model, properties = stormpy.parse_jani_model(get_example_path("dtmc", "brp.jani"))
        description = stormpy.SymbolicModelDescription(jani_model)
        constant_definitions = description.parse_constant_definitions("N=16, MAX=2")
        instantiated_jani_model = description.instantiate_constants(constant_definitions).as_jani_model()
        model = stormpy.build_symbolic_model(instantiated_jani_model)
        assert model.nr_states == 677
        assert model.nr_transitions == 867
        assert model.model_type == stormpy.ModelType.DTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanDtmc

    def test_build_mdp(self):
        program = stormpy.parse_prism_program(get_example_path("mdp", "two_dice.nm"))
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F \"two\" ]", program)
        model = stormpy.build_symbolic_model(program, formulas)
        assert model.nr_states == 169
        assert model.nr_transitions == 435
        assert model.model_type == stormpy.ModelType.MDP
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanMdp

    def test_build_ctmc(self):
        program = stormpy.parse_prism_program(get_example_path("ctmc", "polling2.sm"), True)
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=3 \"target\" ]", program)
        model = stormpy.build_symbolic_model(program, formulas)
        assert model.nr_states == 12
        assert model.nr_transitions == 21
        assert model.model_type == stormpy.ModelType.CTMC
        assert not model.supports_parameters
        assert type(model) is stormpy.SymbolicSylvanCtmc

    def test_build_ma(self):
        program = stormpy.parse_prism_program(get_example_path("ma", "simple.ma"))
        formulas = stormpy.parse_properties_for_prism_program("P=? [ F<=2 s=2 ]", program)
        with pytest.raises(Exception):
            model = stormpy.build_symbolic_model(program, formulas)