def setUp(self):
self.ctx = map_context(None, None)
self.count_group = "Test"
self.logger = SavingLogger()
self.monitor = HadoopEventMonitor(self.count_group, self.logger,
self.ctx)
self.link = MarkDuplicatesEmitter(self.ctx, self.monitor)
self.pair1 = test_utils.pair1()
self.pair2 = test_utils.pair2()
def setUp(self):
self.monitor = StandardMonitor(SavingLogger())
self.filter = FilterLink(self.monitor)
self.receiver = self.filter.set_next(type(self).Receiver())
# create two mappings, m1, m2. We put them in self.pair
# m1 has:
# name = first
# tid = tid1
# m2 has:
# name = second
# tid = tid2
self.pair = [ SimpleMapping(), SimpleMapping() ]
self.m1, self.m2 = self.pair
self.m1.set_name("first") ; self.m2.set_name("second")
self.m1.tid = "tid1" ; self.m2.tid = "tid2"
self.m1.qual = 50 ; self.m2.qual = 30
def setUp(self):
self.map_ctx = map_context(None, None)
self.count_group = "Test"
self.logger = SavingLogger()
self.monitor = HadoopEventMonitor(self.count_group, self.logger, self.map_ctx)
self.emitter = EmitSamLink(self.map_ctx, self.monitor)
# create two mappings, m1, m2. We put them in self.pair
# m1 has:
# name = first
# tid = tid1
# m2 has:
# name = second
# tid = tid2
self.pair = [ SimpleMapping(), SimpleMapping() ]
self.m1, self.m2 = self.pair
self.m1.set_name("first")
self.m1.tid = "tid1"
self.m2.set_name("second")
self.m2.tid = "tid2"
def setUp(self):
self.map_ctx = map_context(None, None)
self.logger = SavingLogger()
self.count_group = "Test"
self.monitor = HadoopEventMonitor(self.count_group, self.logger,
self.map_ctx)
