mtl-aas/stl/utils.py
2016-12-21 19:18:01 -08:00

110 lines
3.2 KiB
Python

from collections import deque
from lenses import lens, Lens
import funcy as fn
import sympy
from stl.ast import LinEq, And, Or, NaryOpSTL, F, G, Interval, Neg
def walk(stl, bfs=False):
"""Walks Ast. Defaults to DFS unless BFS flag is set."""
pop = deque.popleft if bfs else deque.pop
children = deque([stl])
while len(children) != 0:
node = pop(children)
yield node
children.extend(node.children())
def tree(stl):
return {x:set(x.children()) for x in walk(stl) if x.children()}
def type_pred(*args):
ast_types = set(args)
return lambda x: type(x) in ast_types
def _child_lens(psi, focus):
if psi is None:
return
if isinstance(psi, NaryOpSTL):
for j, _ in enumerate(psi.args):
yield focus.args[j]
else:
yield focus.arg
def ast_lens(phi:"STL", bind=True, *, pred, focus_lens=None) -> lens:
if focus_lens is None:
focus_lens = lambda x: [lens()]
tls = list(fn.flatten(_ast_lens(phi, pred=pred, focus_lens=focus_lens)))
tl = lens().tuple_(*tls).each_()
return tl.bind(phi) if bind else tl
def _ast_lens(phi, *, pred, focus=lens(), focus_lens):
psi = focus.get(state=phi)
ret_lens = [focus.add_lens(l) for l in focus_lens(psi)] if pred(psi) else []
if isinstance(psi, LinEq):
return ret_lens
child_lenses = list(_child_lens(psi, focus=focus))
ret_lens += [_ast_lens(phi, pred=pred, focus=cl, focus_lens=focus_lens)
for cl in child_lenses]
return ret_lens
lineq_lens = fn.partial(ast_lens, pred=type_pred(LinEq))
and_or_lens = fn.partial(ast_lens, pred=type_pred(And, Or))
def terms_lens(phi:"STL", bind=True) -> lens:
return lineq_lens(phi, bind).terms.each_()
def param_lens(phi):
is_sym = lambda x: isinstance(x, sympy.Symbol)
def focus_lens(leaf):
return [lens().const] if isinstance(leaf, LinEq) else [lens().interval[0], lens().interval[1]]
return ast_lens(phi, pred=type_pred(LinEq, F, G),
focus_lens=focus_lens).filter_(is_sym)
def symbol_lens(phi):
is_sym = lambda x: isinstance(x, sympy.Symbol)
def focus_lens(leaf):
spacial = [lens().const] + lens().terms.each_().id.get_all()
temporal = [lens().interval[0], lens().interval[1]]
return spacial if isinstance(leaf, LinEq) else temp
return ast_lens(phi, pred=type_pred(LinEq, F, G),
focus_lens=focus_lens).filter_(is_sym)
def set_params(stl_or_lens, val):
l = stl_or_lens if isinstance(stl_or_lens, Lens) else param_lens(stl_or_lens)
return l.modify(lambda x: val[str(x)] if str(x) in val else x)
def f_neg_or_canonical_form(phi):
if isinstance(phi, LinEq):
return phi
children = [f_neg_or_canonical_form(s) for s in phi.children()]
if isinstance(phi, (And, G)):
children = [Neg(s) for s in children]
children = tuple(children)
if isinstance(phi, Or):
return Or(children)
elif isinstance(phi, And):
return Neg(Or(children))
elif isinstance(phi, Neg):
return Neg(children[0])
elif isinstance(phi, F):
return F(phi.interval, children[0])
elif isinstance(phi, G):
return Neg(F(phi.interval, children[0]))
else:
raise NotImplementedError