File size: 1,235 Bytes
85667d0 9549fcc 85667d0 9549fcc 85667d0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 |
import unittest
from result_data_processor import ResultDataProcessor
import pandas as pd
class TestResultDataProcessor(unittest.TestCase):
def setUp(self):
self.processor = ResultDataProcessor()
# check that the result is a pandas dataframe
def test_process_data(self):
data = self.processor.data
self.assertIsInstance(data, pd.DataFrame)
# check that pandas dataframe has the right columns
def test_columns(self):
data = self.processor.data
self.assertIn('Parameters', data.columns)
self.assertIn('MMLU_average', data.columns)
# check number of columns
self.assertEqual(len(data.columns), 61)
# check that the number of rows is correct
def test_rows(self):
data = self.processor.data
self.assertEqual(len(data), 992)
# # check that mc1 column exists
# def test_mc1(self):
# data = self.processor.data
# self.assertIn('mc1', data.columns)
# test that a column that contains truthfulqa:mc does not exist
def test_truthfulqa_mc(self):
data = self.processor.data
self.assertNotIn('truthfulqa:mc', data.columns)
if __name__ == '__main__':
unittest.main() |