264 lines
10 KiB
Python
264 lines
10 KiB
Python
import os
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import subprocess
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import unittest
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from datetime import datetime
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import numpy as np
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from src.data.ADC_Result import ADC_Result
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class TestADCResult(unittest.TestCase):
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@staticmethod
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def create_adc_result():
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x = np.array([0.0, 1.0, 2.0])
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y = [np.array([10, 20, 30]), np.array([15, 25, 35])]
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index = [(0, 1)]
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job_date = datetime(2023, 1, 1)
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desc = {"key": "value"}
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sampl_freq = 1000.0
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job_id = 11
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adc = ADC_Result(x, y, index, sampl_freq, desc, job_id, job_date)
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return adc
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def test_constructor_with_no_arguments(self):
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"""Test initializer with no arguments."""
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adc = ADC_Result()
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self.assertFalse(adc.contains_data())
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self.assertEqual(adc.sampling_rate, 0)
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self.assertEqual(len(adc.index), 0)
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self.assertEqual(len(adc.x), 0)
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self.assertEqual(len(adc.y), 0)
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def test_constructor_with_arguments(self):
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"""Test initializer with all arguments."""
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x = np.array([0.0, 1.0, 2.0])
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y = [np.array([10, 20, 30]), np.array([15, 25, 35])]
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index = [(0, 2)]
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sampl_freq = 1000.0
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desc = {"key1": "value1"}
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job_id = 1
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job_date = datetime(2023, 1, 1)
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adc = ADC_Result(x, y, index, sampl_freq, desc, job_id, job_date)
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self.assertTrue(adc.contains_data())
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self.assertEqual(adc.sampling_rate, sampl_freq)
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self.assertEqual(adc.x.all(), x.all())
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self.assertEqual(adc.y[0].all(), y[0].all())
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self.assertEqual(adc.description, desc)
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self.assertEqual(adc.job_id, job_id)
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self.assertEqual(adc.job_date, job_date)
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self.assertTrue(np.array_equal(adc.x, np.array(x, dtype="float32")))
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self.assertTrue(np.array_equal(adc.y[0], np.array(y[0], dtype="int16")))
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self.assertTrue(np.array_equal(adc.y[1], np.array(y[1], dtype="int16")))
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def test_create_data_space(self):
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"""Test creating a new data space."""
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adc = ADC_Result()
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adc.create_data_space(channels=2, samples=3)
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self.assertTrue(adc.contains_data())
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self.assertEqual(len(adc.y), 2)
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self.assertEqual(len(adc.x), 3)
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self.assertTrue(np.array_equal(adc.x, np.zeros(3, dtype="float32")))
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self.assertTrue(np.array_equal(adc.y[0], np.zeros(3, dtype="int16")))
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self.assertEqual(adc.index, [(0, 2)])
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def test_add_sample_space(self):
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"""Test adding sample space."""
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adc = ADC_Result()
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adc.create_data_space(channels=1, samples=3)
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adc.add_sample_space(2)
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self.assertEqual(len(adc.x), 5)
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self.assertEqual(len(adc.y[0]), 5)
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self.assertEqual(adc.index[-1], (3, 4))
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def test_get_result_by_index(self):
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"""Test retrieving data by index."""
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adc = self.create_adc_result()
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adc.index = [(0, 1), (1, 2)]
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adc.job_id = 42
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sub_result = adc.get_result_by_index(1)
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self.assertEqual(sub_result.sampling_rate, 1000.0)
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self.assertTrue(np.array_equal(sub_result.x, np.array([1.0, 2.0])))
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self.assertTrue(np.array_equal(sub_result.y[0], np.array([20, 30])))
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self.assertTrue(np.array_equal(sub_result.y[1], np.array([25, 35])))
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self.assertEqual(sub_result.index, [(0, 1)])
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self.assertEqual(sub_result.description, {"key": "value"})
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self.assertEqual(sub_result.job_id, 42)
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def test_set_sampling_rate(self):
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"""Test updating the sampling rate."""
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adc = ADC_Result()
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adc.set_sampling_rate(5000.0)
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self.assertEqual(adc.get_sampling_rate(), 5000.0)
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def test_set_nChannels(self):
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"""Test setting the number of channels."""
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adc = ADC_Result()
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adc.set_nChannels(5)
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self.assertEqual(adc.get_nChannels(), 5)
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def test_write_to_csv(self):
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"""Test the functionality of writing to CSV."""
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from io import StringIO
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x = np.array([0.0, 1.0])
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y = [np.array([10, 20]), np.array([15, 25])]
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index = [(0, 1)]
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job_date = datetime(2023, 1, 1)
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desc = {"key": "value"}
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sampl_freq = 1000.0
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job_id=9
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adc = ADC_Result(x, y, index, sampl_freq, desc, job_id, job_date)
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output = StringIO()
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adc.write_to_csv(output, delimiter=",")
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content = output.getvalue()
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expected = (
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"# adc_result\n"
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"# t y0 y1 ...\n"
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"0.000000e+00,1.000000e+01,1.500000e+01\n"
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"1.000000e+00,2.000000e+01,2.500000e+01\n"
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)
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self.assertEqual(content, expected)
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def test_write_to_hdf(self):
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"""Test the functionality of writing to HDF."""
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import tables
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# do not change the values here, or you need to recreate the h5dump with new values
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x = np.array([0.0, 1.0])
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y = [np.array([10, 20]), np.array([15, 25])]
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index = [(0, 1)]
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job_date = datetime(2023, 1, 1)
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desc = {"key": "value"}
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sampl_freq = 1000.0
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job_id = 10
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adc = ADC_Result(x, y, index, sampl_freq, desc, job_id, job_date)
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# write out data
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hdffile = tables.open_file("test.hdf5", mode="w")
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adc.write_to_hdf(hdffile, where="/", name="name", title="title", complib="zlib", complevel=3)
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hdffile.close()
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# read back data with h5dump utility (apt-get -y install hdf5-tools)
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h5dump = subprocess.run(["h5dump", "-d", "/name/adc_data", "test.hdf5"], capture_output=True)
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content = h5dump.stdout.decode("utf-8")
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with open("tests/h5dump1_adc_data.ascii", "r") as f:
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expected = f.read()
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self.assertEqual(content, expected)
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os.unlink("test.hdf5")
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def test_operator_len(self):
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"""Test the functionality of __len__"""
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adc = self.create_adc_result()
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self.assertEqual(len(adc), 3)
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def test_operator_add_scalar(self):
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"""
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Test the functionality of __add__ and __radd__
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"""
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adc = self.create_adc_result()
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y = adc.y
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# test integer addition
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i]+10, y[i] + 10))
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adc += 10
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] + 10))
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# test float addition
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i] + 10., y[i] + 10.))
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adc += 10.
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] + 10 + 10.))
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def test_operator_sub_scalar(self):
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"""
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Test the functionality of __sub__ and __rsub__
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"""
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adc = self.create_adc_result()
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y = adc.y[0][1]=5
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# test integer subtraction
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i] - 10, y[i] - 10))
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adc -= 10
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] - 10))
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# test float subtraction
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i] - 10., y[i] - 10.))
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adc -= 10.
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] - 10 - 10.))
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def test_operator_mul_scalar(self):
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"""
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Test the functionality of __mul and __rmul__
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"""
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adc = self.create_adc_result()
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y = adc.y
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# test integer multiplication
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i] * 10, y[i] * 10))
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adc *= 10
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] * 10))
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# test float multiplication
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i] * 10.0, y[i] * 10.0))
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adc *= 10.0
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] * 10 * 10.0))
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def test_operator_truediv_scalar(self):
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"""
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Test the functionality of __div__ and __rdiv__
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"""
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adc = self.create_adc_result()
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y = adc.y
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i]/10, y[i] / 10))
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adc /= 10
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] / 10))
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def test_operator_floordiv_scalar(self):
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"""
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Test the functionality of __div__ and __rdiv__
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"""
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adc = self.create_adc_result()
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y = adc.y
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i]//10, y[i] // 10))
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adc //= 10
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for i in range(adc.get_nChannels()):
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self.assertIsNone(np.testing.assert_array_equal(adc.y[i], y[i] // 10))
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self.assertRaises(ValueError, adc.__floordiv__, 1.0)
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self.assertRaises(ValueError, adc.__rfloordiv__, 1.0)
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def test_operator_overload_adc_result_exception(self):
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"""
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Test the ValueError raised when ADC_Result is used as an operand in an arithmetic operation
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"""
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adc1 = self.create_adc_result()
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adc2 = self.create_adc_result()
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self.assertRaises(ValueError, adc1.__add__, adc2)
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self.assertRaises(ValueError, adc1.__radd__, adc2)
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self.assertRaises(ValueError, adc1.__sub__, adc2)
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self.assertRaises(ValueError, adc1.__rsub__, adc2)
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self.assertRaises(ValueError, adc1.__mul__, adc2)
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self.assertRaises(ValueError, adc1.__rmul__, adc2)
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self.assertRaises(ValueError, adc1.__truediv__, adc2)
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self.assertRaises(ValueError, adc1.__rtruediv__, adc2)
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self.assertRaises(ValueError, adc1.__floordiv__, adc2)
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self.assertRaises(ValueError, adc1.__rfloordiv__, adc2)
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self.assertRaises(ValueError, adc1.__pow__, adc2)
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if __name__ == "__main__":
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unittest.main()
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