def __init__(self,
spec,
domain=AbstractDomain.SYMBOLIC2,
difference=0.25,
widening=2,
cpu=None,
analysis=True):
super().__init__()
self.spec = spec
self.domain = domain
self.difference = difference
self.widening = widening
self.analysis = analysis
self.cpu = cpu
self.inputs: Set[VariableIdentifier] = None # input variables
self.outputs: Set[VariableIdentifier] = None # output variables
self.activations: Set[Node] = None # activations
self.splits: Dict[int,
Dict[VariableIdentifier,
PyTexpr1]] = None # partitioning information
self.relus: Dict[VariableIdentifier, Node] = None # relus information
self.man1: PyManager = PyBoxMPQManager()
self.man2: PyManager = PyPolkaMPQstrictManager()
min_int = (-ctypes.c_uint(-1).value) // 2
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_IS_BOTTOM].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_IS_TOP].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_MEET].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_JOIN].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_FORGET_ARRAY].algorithm = min_int
def test_bound_variable(self):
e = PyEnvironment([PyVar('x0'), PyVar('y')], [PyVar('z')])
man: PyManager = PyBoxMPQManager()
variables = [PyVar('x0'), PyVar('y')]
intervals = [PyMPQInterval(-3, 2), PyMPQInterval(-2, 2, 1, 1)]
b = PyBox(man, e, variables=variables, intervals=intervals)
self.assertEqual(str(b.bound_variable(PyVar('y'))), '[-2,2]')
def test_forget(self):
e = PyEnvironment([PyVar('x0'), PyVar('y')], [PyVar('z')])
man: PyManager = PyBoxMPQManager()
variables = [PyVar('x0'), PyVar('y')]
intervals = [PyMPQInterval(-3, 2), PyMPQInterval(-2, 2, 1, 1)]
b = PyBox(man, e, variables=variables, intervals=intervals)
self.assertEqual(str(b.forget([PyVar('y')])),
'1·x0 + 3 >= 0 ∧ -1·x0 + 2 >= 0')
def __init__(self, spec, domain=AbstractDomain.SYMBOLIC2, log=False):
super().__init__()
self.spec = spec
self.domain = domain
self.outputs: Set[VariableIdentifier] = None
self.man1: PyManager = PyBoxMPQManager() # legacy, for symbolic domain
self.log = log
def test_bound_texpr(self):
e = PyEnvironment([PyVar('x0'), PyVar('y')], [PyVar('z')])
man: PyManager = PyBoxMPQManager()
variables = [PyVar('x0'), PyVar('y')]
intervals = [PyMPQInterval(-3, 2), PyMPQInterval(-2, 2, 1, 1)]
b = PyBox(man, e, variables=variables, intervals=intervals)
x0 = PyTexpr1.var(e, PyVar('x0'))
x1 = PyTexpr1.var(e, PyVar('y'))
add = PyTexpr1.binop(TexprOp.AP_TEXPR_ADD, x0, x1,
TexprRtype.AP_RTYPE_REAL, TexprRdir.AP_RDIR_RND)
self.assertEqual(str(b.bound_texpr(add)), '[-5,4]')
def test_top(self):
e = PyEnvironment([PyVar('x0'), PyVar('y')], [PyVar('z')])
man: PyManager = PyBoxMPQManager()
self.assertFalse(PyBox.bottom(man, e).is_top())
b1 = PyBox(man,
e,
variables=[PyVar('x0')],
intervals=[PyDoubleInterval(-2.5, 2.5)])
self.assertFalse(b1.is_bottom())
b2 = PyBox(man,
e,
variables=[PyVar('y')],
intervals=[PyMPQInterval(-5, 5, 2, 2)])
self.assertFalse(b2.is_bottom())
b3 = PyBox(man,
e,
variables=[PyVar('z')],
intervals=[PyMPFRInterval(-2.5, 2.5)])
self.assertFalse(b3.is_bottom())
self.assertTrue(PyBox.top(man, e).is_top())
def __init__(self,
spec,
domain=AbstractDomain.SYMBOLIC3,
steps=None,
minL=None,
startL=0.25,
startU=2,
maxU=None,
cpu=None,
analysis=True):
super().__init__()
self.spec = spec
self.domain = domain
self.steps = (1, 1) if steps is None else steps
self.minL = startL if minL is None else minL
self.startL = startL
self.startU = startU
self.maxU = startU if maxU is None else maxU
self.analysis = analysis
self.cpu = cpu
self.inputs: Set[VariableIdentifier] = None # input variables
self.outputs: Set[VariableIdentifier] = None # output variables
self.activations: Set[Node] = None # activations
self.splits: Dict[int,
Dict[VariableIdentifier,
PyTexpr1]] = None # partitioning information
self.relus: Dict[VariableIdentifier, Node] = None # relus information
self.man1: PyManager = PyBoxMPQManager()
self.man2: PyManager = PyPolkaMPQstrictManager()
min_int = (-ctypes.c_uint(-1).value) // 2
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_IS_BOTTOM].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_IS_TOP].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_MEET].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_JOIN].algorithm = min_int
self.man2.manager.contents.option.funopt[
FunId.AP_FUNID_FORGET_ARRAY].algorithm = min_int