def test_get_ads1299_scale_factors_volts(self):
gains = [24, 24, 24, 24, 24, 24, 24, 24]
expected_scale_factors = []
for gain in gains:
scale_factor = 4.5 / float((pow(2, 23) - 1)) / float(gain)
expected_scale_factors.append(scale_factor)
parser = ParseRaw()
actual_scale_factors = parser.get_ads1299_scale_factors(gains)
self.assertEqual(
actual_scale_factors, expected_scale_factors,
"should be able to get scale factors for gains in volts")
def test_get_ads1299_scale_factors_volts(self):
gains = [24, 24, 24, 24, 24, 24, 24, 24]
expected_scale_factors = []
for gain in gains:
scale_factor = 4.5 / float((pow(2, 23) - 1)) / float(gain)
expected_scale_factors.append(scale_factor)
parser = ParseRaw()
actual_scale_factors = parser.get_ads1299_scale_factors(gains)
self.assertEqual(actual_scale_factors,
expected_scale_factors,
"should be able to get scale factors for gains in volts")
def test_get_channel_data_array(self):
expected_gains = [24, 24, 24, 24, 24, 24, 24, 24]
expected_sample_number = 0
data = sample_packet(expected_sample_number)
parser = ParseRaw(gains=expected_gains, scaled_output=True)
scale_factors = parser.get_ads1299_scale_factors(expected_gains)
expected_channel_data = []
for i in range(Constants.NUMBER_OF_CHANNELS_CYTON):
expected_channel_data.append(scale_factors[i] * (i + 1))
parser.raw_data_to_sample.raw_data_packet = data
actual_channel_data = parser.get_channel_data_array(parser.raw_data_to_sample)
self.assertListEqual(actual_channel_data, expected_channel_data)
