Method test_error_cases

Lib/test/test_statistics.py:2298–2318

(self)

        self.assertNotEqual(small_gm, 0.0)

    def test_error_cases(self):
        geometric_mean = statistics.geometric_mean
        StatisticsError = statistics.StatisticsError
        with self.assertRaises(StatisticsError):
            geometric_mean([])                      # empty input
        with self.assertRaises(StatisticsError):
            geometric_mean([3.5, -4.0, 5.25])       # negative input
        with self.assertRaises(StatisticsError):
            geometric_mean([0.0, -4.0, 5.25])       # negative input with zero
        with self.assertRaises(StatisticsError):
            geometric_mean([3.5, -math.inf, 5.25])  # negative infinity
        with self.assertRaises(StatisticsError):
            geometric_mean(iter([]))                # empty iterator
        with self.assertRaises(TypeError):
            geometric_mean(None)                    # non-iterable input
        with self.assertRaises(TypeError):
            geometric_mean([10, None, 20])          # non-numeric input
        with self.assertRaises(TypeError):
            geometric_mean()                        # missing data argument
        with self.assertRaises(TypeError):
            geometric_mean([10, 20, 60], 70)        # too many arguments

    def test_special_values(self):
        # Rules for special values are inherited from math.fsum()