CrowdTruth / CrowdTruth-core

            judgments[col] = judgments[col].apply(lambda x: str(x).lower())

        return judgments

class TutorialCustomizedConfig(DefaultConfig):

    inputColumns = ["term1", "b1", "e1", "term2", "b2", "e2", "sentence"]

    outputColumns = ["relations"]

    customColumns = ["_id", "_unit_id", "_worker_id", "started_at", "created_at"]

    # processing of a closed task

    open_ended_task = False

    annotation_separator = " "

    annotation_vector = [

        "causes", "manifestation", "treats", "prevents", "symptom", "diagnose_by_test_or_drug",

        "location", "side_effect", "contraindicates", "associated_with", "is_a", "part_of",

        "other", "none"]

    def processJudgments(self, judgments):

        # any pre-processing of the input data goes here

        for col in self.outputColumns:

            # remove square brackets from annotations

            judgments[col] = judgments[col].apply(lambda x: str(x).replace('[', ''))

            judgments[col] = judgments[col].apply(lambda x: str(x).replace(']', ''))

            judgments[col] = judgments[col].apply(lambda x: str(x).lower())

        return judgments

# test_conf_const = TutorialConfig()

# test_config = test_conf_const.__class__

    def processJudgments(self, judgments):

        return judgments

class TutorialConfig(DefaultConfig):

    inputColumns = ["term1", "b1", "e1", "term2", "b2", "e2", "sentence"]

    outputColumns = ["relations"]

    # processing of a closed task

    open_ended_task = False

    annotation_separator = " "

    annotation_vector = [

        "causes", "manifestation", "treats", "prevents", "symptom", "diagnose_by_test_or_drug",

        "location", "side_effect", "contraindicates", "associated_with", "is_a", "part_of",

        "other", "none"]

    def processJudgments(self, judgments):

        # any pre-processing of the input data goes here

        for col in self.outputColumns:

            # remove square brackets from annotations

            judgments[col] = judgments[col].apply(lambda x: str(x).replace('[', ''))

            judgments[col] = judgments[col].apply(lambda x: str(x).replace(']', ''))

            judgments[col] = judgments[col].apply(lambda x: str(x).lower())

        return judgments

class TutorialCustomizedConfig(DefaultConfig):

    inputColumns = ["term1", "b1", "e1", "term2", "b2", "e2", "sentence"]