288 lines
10 KiB
Python
288 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 damaris.data.ADC_Result import ADC_Result
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from damaris.data.Accumulation import Accumulation
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class TestAccumulation(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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adc.set_nChannels(2)
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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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accu = Accumulation()
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self.assertFalse(accu.contains_data())
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self.assertEqual(accu.sampling_rate, 0)
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self.assertEqual(len(accu.index), 0)
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self.assertEqual(len(accu.x), 0)
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self.assertEqual(len(accu.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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n = 1
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index = [(0, 2)]
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sampl_freq = 1000.0
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accu = Accumulation(x=x,
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y=y,
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y_2=None,
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index=index,
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sampl_freq=sampl_freq,
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n=n)
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self.assertTrue(accu.contains_data())
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self.assertEqual(accu.sampling_rate, sampl_freq)
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self.assertEqual(accu.x.all(), x.all())
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self.assertEqual(accu.y[0].all(), y[0].all())
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# TODO make testing strict with array types!
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np.testing.assert_array_equal(accu.x, np.array(x, dtype="float32"), strict=False)
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np.testing.assert_array_equal(accu.y[0], np.array(y[0], dtype="int16"), strict=False)
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np.testing.assert_array_equal(accu.y[1], np.array(y[1], dtype="int16"), strict=False)
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def test_add_adc_result(self):
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"""Test adding sample space."""
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adc = self.create_adc_result()
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accu = Accumulation()
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accu += adc
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self.assertEqual(len(adc.x), len(accu.x))
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self.assertEqual(len(adc.y[0]), len(accu.y[0]))
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self.assertEqual(adc.index[-1], accu.index[-1])
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np.testing.assert_array_equal(accu.x, adc.x)
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np.testing.assert_array_equal(accu.y[0], adc.y[0])
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def test_add_accumulation(self):
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"""Test adding sample space."""
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adc1 = self.create_adc_result()
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adc1.set_description("common", "somerandomtext")
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adc1.set_description("same_variable", "somerandomtext_variable1")
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adc1.set_description("variable1", "somerandomtext_variable1_1")
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adc2 = self.create_adc_result()
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adc2.set_description("common", "somerandomtext")
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adc2.set_description("same_variable", "somerandomtext_variable2")
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adc2.set_description("variable2", "somerandomtext_variable2_2")
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accu1 = Accumulation()
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accu1 += adc1
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print(accu1.common_descriptions)
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accu2 = Accumulation()
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accu2 += adc2
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accu2 += accu1
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self.assertEqual(len(accu1.x), len(accu2.x))
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self.assertEqual(len(accu1.y[0]), len(accu2.y[0]))
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self.assertEqual(accu1.index[-1], accu2.index[-1])
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self.assertEqual(accu1.common_descriptions["same_variable"], "somerandomtext_variable1")
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self.assertEqual(accu2.common_descriptions["common"], "somerandomtext")
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np.testing.assert_array_equal(accu2.x, accu1.x)
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np.testing.assert_array_equal(accu2.y[0], accu1.y[0]*2)
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def test_get_accu_by_index(self):
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"""Test retrieving data by index."""
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accu = Accumulation()
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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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accu += adc
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sub_result = accu.get_accu_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.common_descriptions, {"key": "value"})
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def test_write_to_csv_without_error(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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accu = Accumulation()
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accu += adc
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output = StringIO()
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accu.write_to_csv(output, delimiter=",")
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content = output.getvalue()
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expected = (
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"# accumulation 1\n"
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"# key : value\n"
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"# t ch0_mean ch1_mean\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_csv_with_error(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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accu = Accumulation(error=True)
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accu += adc
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output = StringIO()
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accu.write_to_csv(output, delimiter=",")
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content = output.getvalue()
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expected = (
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"# accumulation 1\n"
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"# key : value\n"
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"# t ch0_mean ch0_err ch1_mean ch1_err\n"
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"0.000000e+00,1.000000e+01,0.000000e+00,1.500000e+01,0.000000e+00\n"
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"1.000000e+00,2.000000e+01,0.000000e+00,2.500000e+01,0.000000e+00\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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accu = Accumulation()
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accu += adc
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# write out data
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hdffile = tables.open_file("testaccu.hdf5", mode="w")
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accu.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/accu_data", "testaccu.hdf5"], capture_output=True)
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content = h5dump.stdout.decode("utf-8")
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# Use path relative to project root
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test_dir = os.path.dirname(__file__)
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with open(os.path.join(test_dir, "h5dump1_accu.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("testaccu.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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accu = Accumulation()
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accu += adc
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self.assertEqual(len(accu), 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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accu = Accumulation()
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accu += adc
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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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np.testing.assert_array_equal(accu.y[i]+10, y[i] + 10)
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accu += 10
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i], y[i] + 10)
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# test float addition
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accu += 10.
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.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
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accu = Accumulation()
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accu += adc
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# test integer subtraction
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accu -= 10
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i], y[i] - 10)
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# test float subtraction
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adc -= 10.
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.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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accu = Accumulation()
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accu += adc
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# test integer multiplication
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accu *= 10
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i], y[i] * 10)
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# test float multiplication
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accu *= 10.0
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.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 __truediv__ and __itruediv__
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"""
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adc = self.create_adc_result()
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y = adc.y
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accu = Accumulation()
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accu += adc
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i]/10, y[i] / 10)
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accu /= 10
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.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 __floordiv__ and __ifloordiv__
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"""
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adc = self.create_adc_result()
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y = adc.y
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accu = Accumulation()
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accu += adc
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i]//10, y[i] // 10)
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accu //= 10
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for i in range(adc.get_nChannels()):
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np.testing.assert_array_equal(accu.y[i], y[i] // 10)
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self.assertRaises(ValueError, accu.__floordiv__, 1.0)
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self.assertRaises(ValueError, accu.__ifloordiv__, 1.0)
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if __name__ == "__main__":
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unittest.main()
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