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130 lines
4.3 KiB
130 lines
4.3 KiB
# Copyright 2015-2016 ARM Limited |
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# |
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# Licensed under the Apache License, Version 2.0 (the "License"); |
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# you may not use this file except in compliance with the License. |
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# You may obtain a copy of the License at |
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# |
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# http://www.apache.org/licenses/LICENSE-2.0 |
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# |
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# Unless required by applicable law or agreed to in writing, software |
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# distributed under the License is distributed on an "AS IS" BASIS, |
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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# See the License for the specific language governing permissions and |
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# limitations under the License. |
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# |
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from bart.common import Utils |
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from bart.common.Analyzer import Analyzer |
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import unittest |
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import pandas as pd |
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import trappy |
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class TestCommonUtils(unittest.TestCase): |
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def __init__(self, *args, **kwargs): |
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super(TestCommonUtils, self).__init__(*args, **kwargs) |
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def test_interval_sum(self): |
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"""Test Utils Function: interval_sum""" |
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# A series with a non uniform index |
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# Refer to the example illustrations in the |
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# the interval sum docs-strings which explains |
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# the difference between step-post and ste-pre |
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# calculations |
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values = [0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1] |
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index = [0, 1, 2, 3, 4, 5, 8, 9, 10, 11, 12] |
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series = pd.Series(values, index=index) |
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self.assertEqual(Utils.interval_sum(series, 1, step="post"), 8) |
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self.assertEqual(Utils.interval_sum(series, 1, step="pre"), 7) |
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# check left boundary |
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array = [1, 1, 0, 0] |
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series = pd.Series(array) |
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self.assertEqual(Utils.interval_sum(series, 1, step="post"), 2) |
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self.assertEqual(Utils.interval_sum(series, 1, step="pre"), 1) |
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# check right boundary |
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array = [0, 0, 1, 1] |
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series = pd.Series(array) |
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self.assertEqual(Utils.interval_sum(series, 1, step="post"), 1) |
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self.assertEqual(Utils.interval_sum(series, 1, step="pre"), 2) |
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array = [False, False, True, True, True, True, False, False] |
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series = pd.Series(array) |
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self.assertEqual(Utils.interval_sum(series), 4) |
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def test_area_under_curve(self): |
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"""Test Utils function: area_under_curve""" |
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array = [0, 0, 2, 2, 2, 1, 1, 1] |
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series = pd.Series(array) |
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# Area under curve post stepping |
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self.assertEqual( |
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Utils.area_under_curve( |
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series, |
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method="rect", |
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step="post"), |
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8) |
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# Area under curve pre stepping |
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self.assertEqual( |
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Utils.area_under_curve( |
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series, |
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method="rect", |
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step="pre"), |
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9) |
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array = [1] |
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series = pd.Series(array) |
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# Area under curve post stepping, edge case |
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self.assertEqual( |
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Utils.area_under_curve( |
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series, |
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method="rect", |
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step="post"), |
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0) |
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# Area under curve pre stepping, edge case |
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self.assertEqual( |
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Utils.area_under_curve( |
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series, |
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method="rect", |
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step="pre"), |
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0) |
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class TestAnalyzer(unittest.TestCase): |
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def test_assert_statement_bool(self): |
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"""Check that asssertStatement() works with a simple boolean case""" |
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rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]}) |
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trace = trappy.BareTrace() |
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trace.add_parsed_event("dice_rolls", rolls_dfr) |
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config = {"MAX_DICE_NUMBER": 6} |
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t = Analyzer(trace, config) |
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statement = "numpy.max(dice_rolls:results) <= MAX_DICE_NUMBER" |
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self.assertTrue(t.assertStatement(statement, select=0)) |
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def test_assert_statement_dataframe(self): |
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"""assertStatement() works if the generated statement creates a pandas.DataFrame of bools""" |
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rolls_dfr = pd.DataFrame({"results": [1, 3, 2, 6, 2, 4]}) |
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trace = trappy.BareTrace() |
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trace.add_parsed_event("dice_rolls", rolls_dfr) |
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config = {"MIN_DICE_NUMBER": 1, "MAX_DICE_NUMBER": 6} |
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t = Analyzer(trace, config) |
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statement = "(dice_rolls:results <= MAX_DICE_NUMBER) & (dice_rolls:results >= MIN_DICE_NUMBER)" |
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self.assertTrue(t.assertStatement(statement)) |
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statement = "dice_rolls:results == 3" |
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self.assertFalse(t.assertStatement(statement))
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