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52 lines
1.4 KiB
52 lines
1.4 KiB
#!/usr/bin/env python3
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# type: ignore
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import random
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from collections import defaultdict
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from tqdm import tqdm
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from selfdrive.car.fw_versions import match_fw_to_car_fuzzy
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from selfdrive.car.toyota.values import FW_VERSIONS as TOYOTA_FW_VERSIONS
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from selfdrive.car.honda.values import FW_VERSIONS as HONDA_FW_VERSIONS
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from selfdrive.car.hyundai.values import FW_VERSIONS as HYUNDAI_FW_VERSIONS
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from selfdrive.car.volkswagen.values import FW_VERSIONS as VW_FW_VERSIONS
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FWS = {}
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FWS.update(TOYOTA_FW_VERSIONS)
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FWS.update(HONDA_FW_VERSIONS)
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FWS.update(HYUNDAI_FW_VERSIONS)
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FWS.update(VW_FW_VERSIONS)
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if __name__ == "__main__":
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total = 0
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match = 0
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wrong_match = 0
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confusions = defaultdict(set)
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for _ in tqdm(range(1000)):
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for candidate, fws in FWS.items():
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fw_dict = {}
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for (tp, addr, subaddr), fw_list in fws.items():
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fw_dict[(addr, subaddr)] = [random.choice(fw_list)]
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matches = match_fw_to_car_fuzzy(fw_dict, log=False, exclude=candidate)
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total += 1
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if len(matches) == 1:
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if list(matches)[0] == candidate:
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match += 1
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else:
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confusions[candidate] |= matches
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wrong_match += 1
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print()
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for candidate, wrong_matches in sorted(confusions.items()):
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print(candidate, wrong_matches)
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print()
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print(f"Total fuzz cases: {total}")
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print(f"Correct matches: {match}")
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print(f"Wrong matches: {wrong_match}")
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