change yaml spec to + move ast utilities + drop numpy dependency

yaml spec now supports attaching meta data to specs such as pri or stl
This commit is contained in:
Marcell Vazquez-Chanlatte 2016-07-27 23:25:16 -07:00
parent 8d5a32701c
commit a414e57162
4 changed files with 60 additions and 62 deletions

View file

@ -1,4 +1,4 @@
from stl.ast import terms_lens, lineq_lens, walk, tree, and_or_lens
from stl.utils import terms_lens, lineq_lens, walk, tree, and_or_lens
from stl.ast import dt_sym, t_sym
from stl.ast import LinEq, Interval, NaryOpSTL, Or, And, F, G, ModalOp, Neg, Var
from stl.parser import parse

60
ast.py
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@ -8,10 +8,6 @@ from typing import Union
from enum import Enum
from sympy import Symbol
from lenses import lens
import funcy as fn
VarKind = Enum("VarKind", ["x", "u", "w"])
str_to_varkind = {"x": VarKind.x, "u": VarKind.u, "w": VarKind.w}
dt_sym = Symbol('dt', positive=True)
@ -51,7 +47,7 @@ class NaryOpSTL(namedtuple('NaryOp', ['args'])):
if n == 1:
return "{}".format(self.args[0])
elif self.args:
rep = "({})" + " {op} ({})"*(len(self.args) - 1)
rep = " {op} ".join(["({})"]*(len(self.args) - 1))
return rep.format(*self.args, op=self.OP)
else:
return ""
@ -88,57 +84,3 @@ class Neg(namedtuple('Neg', ['arg'])):
def children(self):
return [self.arg]
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) -> lens:
tls = list(fn.flatten(_ast_lens(phi, pred=pred)))
tl = lens().tuple_(*tls).each_()
return tl.bind(phi) if bind else tl
def _ast_lens(phi, *, pred, focus=lens()):
psi = focus.get(state=phi)
ret_lens = [focus] 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) 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_()

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@ -14,7 +14,6 @@ import operator as op
from parsimonious import Grammar, NodeVisitor
from funcy import flatten
import numpy as np
from lenses import lens
from sympy import Symbol, Number
@ -51,7 +50,7 @@ prime = "'"
pm = "+" / "-"
dt = "dt"
unbound = "?"
id = ("x" / "u" / "w") ~r"[a-zA-z\d]*"
id = ~r"[a-zA-z\d]*"
const = ~r"[\+\-]?\d*(\.\d+)?"
op = ">=" / "<=" / "<" / ">" / "="
_ = ~r"\s"+

57
utils.py Normal file
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@ -0,0 +1,57 @@
from lenses import lens
import funcy as fn
from stl.ast import LinEq, And, Or, NaryOpSTL
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) -> lens:
tls = list(fn.flatten(_ast_lens(phi, pred=pred)))
tl = lens().tuple_(*tls).each_()
return tl.bind(phi) if bind else tl
def _ast_lens(phi, *, pred, focus=lens()):
psi = focus.get(state=phi)
ret_lens = [focus] 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) 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_()