def make_failures(prob, count):
"""func make_failures :: NetworkProbability, Int -> SimulationBatch
----
Monte Carlo sample the network for unexpected changes.
e.g. new outages (failures), actual weather, actual load level, etc.
"""
batch = SimulationBatch()
for x in range(count):
batch.add(prob.failures(str(x)))
EnsureEqual(count, batch.size())
return batch
def make_failures(prob, count):
"""func make_failures :: NetworkProbability, Int -> SimulationBatch
----
Monte Carlo sample the network for unexpected changes.
e.g. new outages (failures), actual weather, actual load level, etc.
"""
batch = SimulationBatch()
for x in range(count):
batch.add(prob.failures(str(x)))
EnsureEqual(count, batch.size())
return batch
def make_outages(prob, count):
"""func make_outages :: NetworkProbability, Int -> SimulationBatch
----
Monte Carlo sample the network for it's expected condition.
e.g. existing outages, weather & load forcast, etc.
"""
batch = SimulationBatch()
for x in range(count):
batch.add(prob.outages(str(x)))
EnsureEqual(count, batch.size())
return batch
def make_outages(prob, count):
"""func make_outages :: NetworkProbability, Int -> SimulationBatch
----
Monte Carlo sample the network for it's expected condition.
e.g. existing outages, weather & load forcast, etc.
"""
batch = SimulationBatch()
for x in range(count):
batch.add(prob.outages(str(x)))
EnsureEqual(count, batch.size())
return batch
