How to use test_partially_reversed_data method in yandex-tank

Best Python code snippet using yandex-tank

test_pipeline.py

Source:test_pipeline.py

...10AGGR_CONFIG = json.loads(11    resource_string("yandextank.plugins.Aggregator", 'config/phout.json')12    .decode('utf-8'))13class TestPipeline(object):14    def test_partially_reversed_data(self, data):15        results_queue = Queue()16        chunks = list(random_split(data))17        chunks[5], chunks[6] = chunks[6], chunks[5]18        pipeline = Aggregator(19            TimeChopper(20                DataPoller(21                    source=chunks, poll_period=0.1), cache_size=3),22            AGGR_CONFIG,23            False)24        drain = Drain(pipeline, results_queue)25        drain.run()26        assert results_queue.qsize() == MAX_TS27    def test_slow_producer(self, data):28        results_queue = Queue()...

test_chopper.py

Source:test_chopper.py

...15        result = list(chopper)16        assert len(result) == MAX_TS17        concatinated = pd.concat(r[1] for r in result)18        assert len(data) == len(concatinated), "We did not lose anything"19    def test_partially_reversed_data(self, data):20        chunks = list(random_split(data))21        chunks[5], chunks[6] = chunks[6], chunks[5]22        chopper = TimeChopper(chunks, 5)23        result = list(chopper)24        assert len(25            result26        ) == MAX_TS, "DataFrame is splitted into proper number of chunks"27        concatinated = pd.concat(r[1] for r in result)28        assert len(data) == len(concatinated), "We did not lose anything"29        assert np.allclose(...

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