def _evaluate_prior_data(self, data_series, samples):
self.logger.debug("Data series: %s" % data_series)
number_of_samples = len(data_series)
if number_of_samples == 0:
return False
if (number_of_samples < samples):
self.logger.debug("Only %s samples, ignoring" % number_of_samples)
return False
return SteadyState.steady_state(data_series)
def test_negative_slope(self):
expected = False
data_series = [[1.3, 1], [1.2, 1], [1.1, 1.1], [1.0, 1.1]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_negative_values(self):
expected = True
data_series = [[-1, -24.2], [0.5, -23.8], [1.1, -24.0], [3.2, -24.0]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_out_of_order_series(self):
expected = True
data_series = [[-15, 0.43], [-16, 0.41], [-3, 0.45], [4, 0.42]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_empty_series(self):
expected = False
data_series = []
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_float_integer_mix_true(self):
expected = True
data_series = [[12, 18], [12.5, 18.2], [13, 16.8], [15, 16.8]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_float_integer_mix_false(self):
expected = False
data_series = [[1, 2], [2, 2.2], [3, 1.8], [4, 1.8]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_float_values(self):
expected = True
data_series = [[55.5, 40.5], [150.2, 42.3], [150.8, 41.8],
[151.2, 41.5]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)
def test_integer_values(self):
expected = True
data_series = [[305, 20], [306, 21], [307, 21], [308, 19]]
actual = SteadyState.steady_state(data_series)
self.assertEqual(expected, actual)