flake8

mtl/ast.py

@@ -1,11 +1,10 @@
 # -*- coding: utf-8 -*-
-from collections import deque, namedtuple
-from functools import lru_cache
+from collections import deque
 from typing import Union, NamedTuple
 
 import attr
 import funcy as fn
-from lenses import lens, bind
+from lenses import bind
 
 import mtl
 
@@ -129,8 +128,6 @@ def ast_class(cls):
     if not hasattr(cls, "children"):
         cls.children = property(lambda _: ())
 
-
-
     return attr.s(frozen=True, auto_attribs=True, repr=False, slots=True)(cls)
 
 

mtl/boolean_eval.py

@@ -20,8 +20,6 @@ def negate_trace(x):
 
 
 def pointwise_sat(phi, dt=0.1):
-    ap_names = [z.id for z in phi.atomic_predicates]
-
     def _eval_mtl(x, t=0):
         return bool(eval_mtl(phi, dt)(x)[t])
 

mtl/test_params.py

@@ -1,5 +1,4 @@
 import mtl
-from mtl.hypothesis import MetricTemporalLogicStrategy
 
 import hypothesis.strategies as st
 from hypothesis import given
@@ -13,4 +12,3 @@ def test_params1(a, b, c):
     phi2 = phi[{'a': a, 'b': b}]
     assert phi2.params == set()
     assert phi2 == mtl.parse(f'G[{a}, {b}](x)')
-    

mtl/test_parser.py

@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-from hypothesis import event, given
+from hypothesis import given
 from traces import TimeSeries
 
 import mtl

mtl/test_utils.py

@@ -2,7 +2,6 @@ import mtl
 from mtl.hypothesis import MetricTemporalLogicStrategy
 
 from hypothesis import given
-from pytest import raises
 
 CONTEXT = {
     'ap1': mtl.parse('x'),
@@ -13,6 +12,7 @@ CONTEXT = {
 }
 APS = set(CONTEXT.keys())
 
+
 def test_inline_context_rigid():
     phi = mtl.parse('G ap1')
     assert phi[CONTEXT] == mtl.parse('G x')

mtl/utils.py

@@ -4,7 +4,6 @@ from math import isfinite
 
 import traces
 import numpy as np
-from lenses import bind
 
 import mtl.ast
 from mtl.ast import (And, F, G, Interval, Neg, Or, Next, Until,

requirements.txt

@@ -1,11 +1,11 @@
 -e git://github.com/mvcisback/hypothesis-cfg@master#egg=hypothesis-cfg
--e git://github.com/mvcisback/multidim-threshold@master#egg=multidim-threshold
 bitarray==0.8.1
 funcy==1.9.1
 lenses==0.4.0
 parsimonious==0.7.0
 traces==0.3.1
 hypothesis==3.32.1
+numpy==1.15.0
 
 pytest==3.2.3
 pytest-bpdb==0.1.4