Python STUDENT_ITEM.get Beispiele

Beispiel #1

Datei: test_worker.py Projekt: Akif-Vohra/edx-ora2

    def setUp(self):
        """
        Create a submission and grading workflow.
        """
        # Create a submission
        submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
        self.submission_uuid = submission['uuid']

        # Create a workflow for the submission
        workflow = AIGradingWorkflow.start_workflow(self.submission_uuid, RUBRIC, ALGORITHM_ID)
        self.workflow_uuid = workflow.uuid

        # Associate the workflow with classifiers
        rubric = rubric_from_dict(RUBRIC)
        classifier_set = AIClassifierSet.create_classifier_set(
            self.CLASSIFIERS, rubric, ALGORITHM_ID, STUDENT_ITEM.get('course_id'), STUDENT_ITEM.get('item_id')
        )
        workflow.classifier_set = classifier_set
        workflow.save()

Beispiel #2

    def setUp(self):
        """
        Create a submission and grading workflow.
        """
        # Create a submission
        submission = sub_api.create_submission(STUDENT_ITEM, ANSWER)
        self.submission_uuid = submission['uuid']

        # Create a workflow for the submission
        workflow = AIGradingWorkflow.start_workflow(self.submission_uuid,
                                                    RUBRIC, ALGORITHM_ID)
        self.workflow_uuid = workflow.uuid

        # Associate the workflow with classifiers
        rubric = rubric_from_dict(RUBRIC)
        classifier_set = AIClassifierSet.create_classifier_set(
            self.CLASSIFIERS, rubric, ALGORITHM_ID,
            STUDENT_ITEM.get('course_id'), STUDENT_ITEM.get('item_id'))
        workflow.classifier_set = classifier_set
        workflow.save()

Beispiel #3

Datei: test_ai.py Projekt: zimka/edx-ora2

        classifier['score_override'] = 0
        return classifier

    def score(self, text, classifier, cache):
        """
        Stub implementation that returns whatever scores were
        provided in the serialized classifier data.

        Expect `classifier` to be a dict with a single key,
        "score_override" containing the score to return.
        """
        return classifier['score_override']


ALGORITHM_ID = "test-stub"
COURSE_ID = STUDENT_ITEM.get('course_id')
ITEM_ID = STUDENT_ITEM.get('item_id')

AI_ALGORITHMS = {
    ALGORITHM_ID: '{module}.StubAIAlgorithm'.format(module=__name__),
}


def train_classifiers(rubric_dict, classifier_score_overrides):
    """
    Simple utility function to train classifiers.

    Args:
        rubric_dict (dict): The rubric to train the classifiers on.
        classifier_score_overrides (dict): A dictionary of classifier overrides
            to set the scores for the given submission.

Beispiel #4

Datei: test_ai.py Projekt: Akif-Vohra/edx-ora2

        classifier['score_override'] = 0
        return classifier

    def score(self, text, classifier, cache):
        """
        Stub implementation that returns whatever scores were
        provided in the serialized classifier data.

        Expect `classifier` to be a dict with a single key,
        "score_override" containing the score to return.
        """
        return classifier['score_override']


ALGORITHM_ID = "test-stub"
COURSE_ID = STUDENT_ITEM.get('course_id')
ITEM_ID = STUDENT_ITEM.get('item_id')

AI_ALGORITHMS = {
    ALGORITHM_ID: '{module}.StubAIAlgorithm'.format(module=__name__),
}


def train_classifiers(rubric_dict, classifier_score_overrides):
    """
    Simple utility function to train classifiers.

    Args:
        rubric_dict (dict): The rubric to train the classifiers on.
        classifier_score_overrides (dict): A dictionary of classifier overrides
            to set the scores for the given submission.