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https://github.com/valitydev/yandex-tank.git
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220 lines
8.1 KiB
Python
220 lines
8.1 KiB
Python
from Tank.Plugins.Aggregator import SecondAggregateData, \
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SecondAggregateDataTotalItem
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from Tank.Plugins.TotalAutostop import TotalFracTimeCriteria, TotalHTTPCodesCriteria, TotalNegativeHTTPCodesCriteria, TotalNetCodesCriteria, TotalNegativeNetCodesCriteria, TotalHTTPTrendCriteria, QuantileOfSaturationCriteria
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from Tests.TankTests import TankTestCase
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import unittest
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from Tank.Plugins.Autostop import AutostopPlugin
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class TotalCriteriasTest(TankTestCase):
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def setUp(self):
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autostop = AutostopPlugin(self.get_core())
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self.frac_criteria = TotalFracTimeCriteria(autostop, "10ms, 50%, 3s")
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self.http_relcriteria = TotalHTTPCodesCriteria(autostop, "50x, 10%, 3s")
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self.http_abscriteria = TotalHTTPCodesCriteria(autostop, "50x, 30, 4s")
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self.negative_http_relcriteria = TotalNegativeHTTPCodesCriteria(autostop, "2xx, 10%, 3s")
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self.negative_http_abscriteria = TotalNegativeHTTPCodesCriteria(autostop, "20x, 30, 4s")
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self.net_relcriteria = TotalNetCodesCriteria(autostop, "110, 37%, 3s")
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self.net_abscriteria = TotalNetCodesCriteria(autostop, "71, 30, 2s")
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self.negative_net_relcriteria = TotalNegativeNetCodesCriteria(autostop, "0, 45%, 5s")
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self.negative_net_abscriteria = TotalNegativeNetCodesCriteria(autostop, "0, 100, 5s")
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self.http_trend = TotalHTTPTrendCriteria(autostop, "2xx, 10s")
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self.qsat_absrel = QuantileOfSaturationCriteria(autostop, "200ms, 70s, 20%")
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def tearDown(self):
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# frac time
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del self.frac_criteria
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self.frac_criteria = None
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# http
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del self.http_relcriteria
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self.http_relcriteria = None
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del self.http_abscriteria
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self.http_abscriteria = None
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# negative http
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del self.negative_http_relcriteria
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self.negative_http_relcriteria = None
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del self.negative_http_abscriteria
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self.negative_http_abscriteria = None
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# net
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del self.net_relcriteria
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self.net_relcriteria = None
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del self.net_abscriteria
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self.net_abscriteria = None
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# negative net
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del self.negative_net_relcriteria
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self.negative_net_relcriteria = None
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del self.negative_net_abscriteria
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self.negative_net_abscriteria = None
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# tangent of total_count
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del self.http_trend
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self.http_trend = None
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del self.qsat_absrel
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self.qsat_absrel = None
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def test_frac_null(self):
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data = list()
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for i in range(0, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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if i % 5 != 0:
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data.overall.times_dist = [
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{'count': 10, 'to': 10, 'from': 0},
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{'count': i + 1, 'to': 20, 'from': 10}]
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if self.frac_criteria.notify(data) :
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break
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if i != 13 :
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raise RuntimeError();
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def test_frac_run(self):
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data = list()
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for i in range(0, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.times_dist = [
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{'count': 10, 'to': 10, 'from': 0},
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{'count': i + 1, 'to': 20, 'from': 10}]
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if self.frac_criteria.notify(data):
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break
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if i != 11 :
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raise RuntimeError()
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def test_http_run_relative(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i * 2
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data.overall.http_codes = {'200': 100, '501': i, '503': i}
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if self.http_relcriteria.notify(data):
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break
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if i != 7 : raise RuntimeError()
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def test_http_run_absolute(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i * 2
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data.overall.http_codes = {'200': 100, '501': i, '503': i}
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if self.http_abscriteria.notify(data) :
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break
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if i != 6 : raise RuntimeError()
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def test_negative_http_run_relative(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 200 + 2 * i
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data.overall.http_codes = {'200': 100, '201': 100, '501': i, '503': i}
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if self.negative_http_relcriteria.notify(data):
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break
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if i != 13 : raise RuntimeError()
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def test_negative_http_run_absolute(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 200 + 2 * i
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data.overall.http_codes = {'200': 100, '201': 100, '302': i * 2}
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if self.negative_http_abscriteria.notify(data) :
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break
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if i != 6 : raise RuntimeError()
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def test_net_run_relative(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i ** 2
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data.overall.net_codes = {'0': 100, '110': i ** 2}
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if self.net_relcriteria.notify(data) :
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break
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if i != 9 : raise RuntimeError()
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def test_net_run_absolute(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i ** 2 + i
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data.overall.net_codes = {'0': 100, '71': i ** 2, '110' : i}
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if self.net_abscriteria.notify(data) :
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break
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if i != 5 : raise RuntimeError()
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def test_negative_net_run_relative(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i ** 2
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data.overall.net_codes = {'0': 100, '110': i ** 2}
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if self.negative_net_relcriteria.notify(data) :
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break
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if i != 12 : raise RuntimeError()
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def test_negative_net_run_absolute(self):
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data = list()
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for i in range(1, 20):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 100 + i ** 2
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data.overall.net_codes = {'0': 100, '110': i ** 2}
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if self.negative_net_abscriteria.notify(data) :
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break
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if i != 7 : raise RuntimeError()
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def test_http_trend_run(self):
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data = list()
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for i in range(1, 30):
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data = SecondAggregateData()
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data.time = "2012-09-25 18:18:18"
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data.overall.RPS = 200
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if i < 10 :
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data.overall.RPS += i
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data.overall.http_codes = {'200': 100 + i, '201': 100}
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elif i >= 10 and i < 20:
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if i % 2:
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diff = -3
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else :
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diff = 3
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data.overall.RPS += 10 + diff
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data.overall.http_codes = {'200': 110 + diff, '201': 100}
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elif i >= 20 and i < 30:
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diff = i - 20
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data.overall.RPS += 10 - diff + i
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data.overall.http_codes = {'200': 110 - diff, '201': 100, '502': i}
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if self.http_trend.notify(data) :
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break
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if i != 28 :
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raise RuntimeError()
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def test_qsat_data(self):
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dist = {0: {'count': 36, 'to': 1, 'from': 0}, 40: {'count': 5, 'to': 50, 'from': 40}, 3: {'count': 1, 'to': 4, 'from': 3}, 20: {'count': 5, 'to': 30, 'from': 20}, 30: {'count': 27, 'to': 40, 'from': 30}}
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data = SecondAggregateData(SecondAggregateDataTotalItem())
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data.cumulative.times_dist = dist
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data.cumulative.total_count = 74
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self.qsat_absrel.timing = 30
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self.qsat_absrel.notify(data)
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self.assertEquals(56.75675675675676, self.qsat_absrel.data[0])
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if __name__ == '__main__':
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unittest.main()
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