ec0b3e8c47876f4700c69d8ad19d2fe6aafbd1ff,parlai/scripts/detect_offensive_language.py,,detect,#Any#Any#Any#,37

Before Change

    print(
        str(cnt)
        + " offensive messages found out of "
        + str(world.num_examples())
        + " messages."
    )
    return world.report()

After Change

    world = create_task(opt, agent)
    if opt["safety"] == "string_matcher" or opt["safety"] == "all":
        offensive_string_matcher = OffensiveStringMatcher()
    if opt["safety"] == "classifier" or opt["safety"] == "all":
        offensive_classifier = OffensiveLanguageClassifier()

    if print_parser:
        // Show arguments after loading model
        print_parser.opt = agent.opt
        print_parser.print_args()

Instances