def test_save_csv_result(self):
clean_dataset = DummyCleanDataset()
analysis = ProportionOfChanges(clean_dataset)
analysis.execute()
analysis.save_csv_result(CSV_RESULT_PATH)
self.assertTrue(path.isfile(CSV_RESULT_PATH))
remove(CSV_RESULT_PATH)
def test_clean_dataset(self):
clean_dataset = DummyCleanDataset()
expected_result = {
ATTRIBUTES[0]: 0.0,
ATTRIBUTES[1]: 0.0,
ATTRIBUTES[2]: 0.0
}
analysis = ProportionOfChanges(clean_dataset)
analysis.execute()
self.assertDictEqual(expected_result, analysis.result)
def setUp(self):
self._dataset = DummyCleanDataset()
self._sensitivity_measure = DummySensitivity()
self._usability_cost_measure = DummyUsabilityCostMeasure()
self._sensitivity_threshold = SENSITIVITY_THRESHOLD
self._trace_path = TRACE_FILENAME
self._expected_trace_path = EXPECTED_TRACE_PATH
self._exploration = ConditionalEntropy(
self._sensitivity_measure, self._usability_cost_measure,
self._dataset, self._sensitivity_threshold)
params.set('Multiprocessing', 'explorations', 'false')
def setUp(self):
# If we use the modin engine, we ignore the multiprocessing test as it
# is incompatible with modin
if params.get('DataAnalysis', 'engine') == 'modin.pandas':
self.skipTest()
self._dataset = DummyCleanDataset()
self._sensitivity_measure = DummySensitivity()
self._usability_cost_measure = DummyUsabilityCostMeasure()
self._sensitivity_threshold = SENSITIVITY_THRESHOLD
self._trace_path = TRACE_FILENAME
self._expected_trace_path = EXPECTED_TRACE_PATH
self._exploration = ConditionalEntropy(
self._sensitivity_measure, self._usability_cost_measure,
self._dataset, self._sensitivity_threshold)
params.set('Multiprocessing', 'explorations', 'true')
def setUp(self):
self._dataset = DummyCleanDataset()
self._sensitivity_measure = DummySensitivity()
self._usability_cost_measure = DummyUsabilityCostMeasure()
self._sensitivity_threshold = SENSITIVITY_THRESHOLD
self._trace_path = TRACE_FILENAME
self._expected_trace_path = EXPECTED_TRACE_PATH_SINGLEPATH_PRUNING_ON
self._explored_paths = 1
self._pruning = PRUNING_ON
self._exploration = FPSelect(self._sensitivity_measure,
self._usability_cost_measure,
self._dataset,
self._sensitivity_threshold,
explored_paths=self._explored_paths,
pruning=self._pruning)
params.set('Multiprocessing', 'explorations', 'false')
def setUp(self):
# If we use the modin engine, we ignore the multiprocessing test as it
# is incompatible with modin
if params.get('DataAnalysis', 'engine') == 'modin.pandas':
self.skipTest()
self._dataset = DummyCleanDataset()
self._sensitivity_measure = DummySensitivity()
self._usability_cost_measure = DummyUsabilityCostMeasure()
self._sensitivity_threshold = SENSITIVITY_THRESHOLD
self._trace_path = TRACE_FILENAME
self._expected_trace_path = EXPECTED_TRACE_PATH_MULTIPATH_PRUNING_OFF
self._pruning = PRUNING_OFF
self._explored_paths = MULTI_EXPLR_PATHS
self._exploration = FPSelect(self._sensitivity_measure,
self._usability_cost_measure,
self._dataset,
self._sensitivity_threshold,
explored_paths=self._explored_paths,
pruning=self._pruning)
params.set('Multiprocessing', 'explorations', 'true')
def setUp(self):
self._dataset = DummyCleanDataset()
self._attribute_set = AttributeSet(ATTRIBUTES)
self._csv_result_path = CSV_RESULT_PATH
def setUp(self):
self._dataset = DummyCleanDataset()
self._df_one_fp_per_browser = (
self._dataset.get_df_w_one_fp_per_browser())
self._attribute_set = AttributeSet(ATTRIBUTES)
def test_clean_dataset(self):
self._dataset = DummyCleanDataset()
self._check_result()
def setUp(self):
self._dataset = DummyCleanDataset()
self._attributes_avg_size = {}
def setUp(self):
self._dataset = DummyCleanDataset()
self._dataframe = self._dataset.dataframe
self._attributes = AttributeSet(ATTRIBUTES)
def setUp(self):
self._attribute_set = AttributeSet(ATTRIBUTES)
self._dataset = DummyCleanDataset()
def setUp(self):
self._dataset = DummyCleanDataset()
self._attribute_names = [attribute.name for attribute in ATTRIBUTES]
def setUp(self):
self._dataset = DummyCleanDataset()
self._attribute_set = AttributeSet(ATTRIBUTES)
self._candidate_attributes = AttributeSet(ATTRIBUTES)
self._most_common_fps = 3
def setUp(self):
self._dataset = DummyCleanDataset()
self._csv_result_path = CSV_RESULT_PATH
self._analysis = DummyAnalysis(self._dataset)
def setUp(self):
self._dummy_fp_dataset = DummyFingerprintDataset()
self._empty_dataset = DummyEmptyDataset()
self._clean_dataset = DummyCleanDataset()
