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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from abstractions import *
import pickle
import numpy as np
class Monitor(object):
def __init__(self, good_ref=None):
# self.abs_type = abs_type
self.good_ref = good_ref
def set_reference(self, good_ref):
self.good_ref = good_ref
# def get_identity(self):
# print("Monitor for network:" + self.netName + "class: " + str(self.classification) + "at layer " + str(self.location))
def make_verdicts(self, features):
if len(self.good_ref):
verdicts = ref_query(features, self.good_ref)
else:
raise RuntimeError("No reference exists!")
return verdicts
# def make_verdicts_delta(self, features, delta):
# if len(self.good_ref):
# verdicts = ref_query_delta(features, self.good_ref, delta)
# else:
# raise RuntimeError("No reference exists!")
# return verdicts
def ref_query(features, reference):
query_results = [boxes_query(x, reference) for x in features]
return query_results
# def ref_query_delta(features, reference, delta):
# query_results = [boxes_query_delta(x, reference, delta) for x in features]
# return query_results
# def query_infusion(in_good_ref, in_bad_ref):
# if len(in_good_ref) == len(in_bad_ref): #0: acceptance (true, false), 1: rejection (false, true or false), 2: uncertainty (true, true)
# verdicts = np.zeros(len(in_good_ref), dtype=int)
# for i in range(len(in_good_ref)):
# if not in_good_ref[i]:
# verdicts[i] = 1
# elif in_bad_ref[i]:
# verdicts[i] = 2
# return verdicts
# else:
# print("Error: IllegalArgument")
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