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helpers.py
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import numpy as np
import re
from dbm import DBM
from transition import PlaceholderTransform, Guard, Invariant, PlaceholderGuard
class GuardHelper:
# TODO: represent guards as dictionaries of variables and invariants instead of invariants
def __init__(self, variables):
self.n_variables = len(variables)
self.variables = variables
def none(self):
return Guard(self.n_variables, [])
def of(self, string):
invariants = []
# TODO: allow guards of the form "x<y+10" etc. Consider allowing guards of the form "x<y+z" too
for var, comp, const in re.findall("(\\w+)([<>]?=?)(-?\\d+)", string):
var = self.variables.index(var)
const = int(const)
if comp == "<=":
invariants.append(Invariant(var, maximum=const))
elif comp == "<":
invariants.append(Invariant(var, maximum=const - 1))
elif comp == ">=":
invariants.append(Invariant(var, minimum=const))
elif comp == ">":
invariants.append(Invariant(var, minimum=const + 1))
elif comp == "=":
invariants.append(Invariant(var, minimum=const, maximum=const))
else:
raise Exception(f"Unknown comparator '{comp}' of guard '{string}'")
return Guard(self.n_variables, invariants)
class PlaceholderGuardHelper:
def __init__(self, variables):
self.variables = variables
def of(self, string):
invariants = []
# TODO: allow guards of the form "x<y+10" etc. Consider allowing guards of the form "x<y+z" too
for var, comp, const in re.findall("(\\w+)([<>]?=?)(-?\\d+)", string):
assert var in self.variables
const = int(const)
if comp == "<=":
invariants.append((var, None, const))
elif comp == "<":
invariants.append((var, None, const - 1))
elif comp == ">=":
invariants.append((var, const, None))
elif comp == ">":
invariants.append((var, const + 1, None))
elif comp == "=":
invariants.append((var, const, const))
else:
raise Exception(f"Unknown comparator '{comp}' of guard '{string}'")
return PlaceholderGuard(invariants)
def none(self):
return PlaceholderGuard([])
class PlaceholderTransformHelper:
def __init__(self, variables):
self.variables = variables
def of(self, string):
transforms = []
# [(x, [(2,x), (2,None)]), ]
varlst = []
for var, expression in re.findall("(\\w+):=((?:[+-]?\\w+)*)", string):
transform = (var, [])
varlst.append(var)
assert var in self.variables
for sign, coefficient, variable in re.findall("([+\\-]?)(\\d*)([A-Za-z]*)", expression)[:-1]:
c = 1
if coefficient != "":
c = int(coefficient)
if sign == "-":
c *= -1
if variable == "":
transform[1].append((c, None))
else:
assert variable in self.variables
transform[1].append((c, variable))
transforms.append(transform)
assert len(set(varlst)) == len(varlst)
return PlaceholderTransform(transforms)
class TransformHelper:
# TODO: represent transforms as dictionaries of variables and transformations instead of transform matrices
def __init__(self, variables):
self.n_variables = len(variables)
self.vars = variables
def of(self, string):
z = np.zeros(self.n_variables)
s = np.identity(self.n_variables)
varlst = []
for var, expression in re.findall("(\\w+):=((?:[+-]?\\w+)*)", string):
varlst.append(var)
var_index = self.vars.index(var)
s[var_index, :] = 0
for sign, coefficient, variable in re.findall("([+\\-]?)(\\d*)([A-Za-z]*)", expression)[:-1]:
c = 1
if coefficient != "":
c = int(coefficient)
if sign == "-":
c *= -1
if variable == "":
assert z[self.vars.index(var)] == 0
z[self.vars.index(var)] = c
else:
variable_index = self.vars.index(variable)
assert s[var_index, variable_index] == 0
s[var_index, variable_index] = c
assert len(set(varlst)) == len(varlst)
return s, z
def add_var(self, var, other_var):
s = np.identity(self.n_variables)
s[var, other_var] = 1
return s, np.zeros(self.n_variables)
def add_n(self, var, n):
z = np.zeros(self.n_variables)
z[var] = n
return np.identity(self.n_variables), z
def plusplus(self, var):
return self.add_n(var, 1)
def minusminus(self, var):
return self.add_n(var, -1)
def scale_n(self, var, n):
s = np.identity(self.n_variables)
s[var, var] = n
return s, np.zeros(self.n_variables)
def double(self, var):
return self.scale_n(var, 2)
def invert(self, var):
return self.scale_n(var, -1)