You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
70 lines
2.7 KiB
70 lines
2.7 KiB
from . import core
|
|
from .core import *
|
|
from . import storage
|
|
from .storage import *
|
|
from .version import __version__
|
|
|
|
core._set_up("")
|
|
|
|
|
|
def build_model(program, properties = None):
|
|
if properties:
|
|
formulae = [prop.raw_formula for prop in properties]
|
|
else:
|
|
formulae = []
|
|
intermediate = core._build_sparse_model_from_prism_program(program, formulae)
|
|
assert not intermediate.supports_parameters
|
|
if intermediate.model_type == ModelType.DTMC:
|
|
return intermediate._as_dtmc()
|
|
elif intermediate.model_type == ModelType.MDP:
|
|
return intermediate._as_mdp()
|
|
else:
|
|
raise RuntimeError("Not supported non-parametric model constructed")
|
|
|
|
def build_parametric_model(program, properties = None):
|
|
if properties:
|
|
formulae = [prop.raw_formula for prop in properties]
|
|
else:
|
|
formulae = []
|
|
intermediate = core._build_sparse_parametric_model_from_prism_program(program, formulae)
|
|
assert intermediate.supports_parameters
|
|
if intermediate.model_type == ModelType.DTMC:
|
|
return intermediate._as_pdtmc()
|
|
elif intermediate.model_type == ModelType.MDP:
|
|
return intermediate._as_pmdp()
|
|
else:
|
|
raise RuntimeError("Not supported parametric model constructed")
|
|
|
|
def perform_bisimulation(model, property, bisimulation_type):
|
|
if model.supports_parameters:
|
|
return core._perform_parametric_bisimulation(model, property.raw_formula, bisimulation_type)
|
|
else:
|
|
return core._perform_bisimulation(model, property.raw_formula, bisimulation_type)
|
|
|
|
def model_checking(model, property):
|
|
if model.supports_parameters:
|
|
return core._parametric_model_checking(model, property.raw_formula)
|
|
else:
|
|
return core._model_checking(model, property.raw_formula)
|
|
|
|
|
|
def compute_prob01_states(model, phi_states, psi_states):
|
|
if model.model_type != ModelType.DTMC:
|
|
raise ValueError("Prob 01 is only defined for DTMCs -- model must be a DTMC")
|
|
|
|
if model.supports_parameters:
|
|
return core._compute_prob01states_rationalfunc(model, phi_states, psi_states)
|
|
else:
|
|
return core._compute_prob01states_double(model, phi_states, psi_states)
|
|
|
|
def compute_prob01min_states(model, phi_states, psi_states):
|
|
if model.supports_parameters:
|
|
return core._compute_prob01states_min_rationalfunc(model, phi_states, psi_states)
|
|
else:
|
|
return core._compute_prob01states_min_double(model, phi_states, psi_states)
|
|
|
|
def compute_prob01max_states(model, phi_states, psi_states):
|
|
if model.supports_parameters:
|
|
return core._compute_prob01states_max_rationalfunc(model, phi_states, psi_states)
|
|
else:
|
|
return core._compute_prob01states_max_double(model, phi_states, psi_states)
|