示例#1
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    def test_transform_raw_data_packets_to_sample(self):
        datas = [sample_packet(0), sample_packet(1), sample_packet(2)]

        parser = ParseRaw(gains=[24, 24, 24, 24, 24, 24, 24, 24])

        samples = parser.transform_raw_data_packets_to_sample(datas)

        self.assertEqual(len(samples), len(datas))

        for i in range(len(samples)):
            self.assertEqual(samples[i].sample_number, i)
示例#2
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    def test_transform_raw_data_packets_to_sample(self):
        datas = [sample_packet(0), sample_packet(1), sample_packet(2)]

        parser = ParseRaw(gains=[24, 24, 24, 24, 24, 24, 24, 24])

        samples = parser.transform_raw_data_packets_to_sample(datas)

        self.assertEqual(len(samples), len(datas))

        for i in range(len(samples)):
            self.assertEqual(samples[i].sample_number, i)
示例#3
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    def test_transform_raw_data_packet_to_sample_accel(self, mock_parse_packet_standard_accel):
        data = sample_packet(0)

        parser = ParseRaw()

        parser.transform_raw_data_packet_to_sample(data)

        mock_parse_packet_standard_accel.assert_called_once()
示例#4
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    def test_get_data_array_accel(self):
        expected_sample_number = 0

        data = sample_packet(expected_sample_number)

        parser = ParseRaw(gains=[24, 24, 24, 24, 24, 24, 24, 24], scaled_output=True)

        expected_accel_data = []
        for i in range(Constants.RAW_PACKET_ACCEL_NUMBER_AXIS):
            expected_accel_data.append(Constants.CYTON_ACCEL_SCALE_FACTOR_GAIN * i)

        parser.raw_data_to_sample.raw_data_packet = data

        actual_accel_data = parser.get_data_array_accel(parser.raw_data_to_sample)

        self.assertListEqual(actual_accel_data, expected_accel_data)
示例#5
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    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)
示例#6
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    def test_parse_packet_standard_accel(self):
        data = sample_packet()

        expected_scale_factor = 4.5 / 24 / (pow(2, 23) - 1)

        parser = ParseRaw(gains=[24, 24, 24, 24, 24, 24, 24, 24], scaled_output=True)

        parser.raw_data_to_sample.raw_data_packet = data

        sample = parser.parse_packet_standard_accel(parser.raw_data_to_sample)

        self.assertIsNotNone(sample)
        for i in range(len(sample.channel_data)):
            self.assertEqual(sample.channel_data[i], expected_scale_factor * (i + 1))
        for i in range(len(sample.accel_data)):
            self.assertEqual(sample.accel_data[i], Constants.CYTON_ACCEL_SCALE_FACTOR_GAIN * i)
        self.assertEqual(sample.packet_type, Constants.RAW_PACKET_TYPE_STANDARD_ACCEL)
        self.assertEqual(sample.sample_number, 0x45)
        self.assertEqual(sample.start_byte, 0xA0)
        self.assertEqual(sample.stop_byte, 0xC0)
        self.assertTrue(sample.valid)