Python get_top_five_predictions Examples

Example #1

    def test_should_return_empty_lists_when_valid_decision_list_is_not_passed(self):
        top_five_predictions, normalized_scores = get_top_five_predictions([], [])
        assert_equals([], top_five_predictions)
        assert_equals([], normalized_scores)


# t = TestScoreGeneration()
# t.setup_class()
# t.test_should_return_top_five_predicted_titles()
# t.test_top_predicted_title_should_be_data_analyst()
# t.test_highest_normalized_score_should_be_hundred()
# t.test_lowest_normalized_score_should_be_greater_than_or_equal_to_zero()
# t.test_should_return_empty_lists_when_valid_decision_list_is_not_passed()
# t.teardown_class()

Example #2

 def test_lowest_normalized_score_should_be_greater_than_or_equal_to_zero(self):
     top_five_predictions, normalized_scores = get_top_five_predictions(self.predicted_decisions, self.labels)
     assert_greater_equal(normalized_scores[len(normalized_scores) - 1], 0)

Example #3

 def test_top_predicted_title_should_be_data_analyst(self):
     top_five_predictions, normalized_scores = get_top_five_predictions(self.predicted_decisions, self.labels)
     assert_equals("Data Analyst", top_five_predictions[0])

Example #4

 def test_highest_normalized_score_should_be_hundred(self):
     top_five_predictions, normalized_scores = get_top_five_predictions(self.predicted_decisions, self.labels)
     assert_equals(100, normalized_scores[0])

Example #5

 def test_should_return_top_five_predicted_titles(self):
     top_five_predictions, normalized_scores = get_top_five_predictions(self.predicted_decisions, self.labels)
     assert_equal(5, len(top_five_predictions))