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 text_to_scenario(text):
"""func text_to_scenario :: Str -> Scenario
----
make `text` into a Scenario by reading as if a
single element batch file
"""
with closing(StringIO(text)) as batch_stream:
batch = SimulationBatch()
batch.read(batch_stream)
EnsureEqual(len(batch), 1)
return list(batch)[0]
def make_outage_cases(prob, count):
"""func make_outage_cases :: NetworkProbability, Int -> SimulationBatch
----
like `make_outages` but makes `count` *after* reducing.
Monte Carlo sample the network for it's expected condition.
e.g. existing outages, weather & load forcast, etc.
"""
batch = SimulationBatch()
current = 0
while len(batch) < count:
batch.add(prob.outages(str(current)))
current += 1
EnsureEqual(count, len(batch))
return batch
def make_failure_cases(prob, count):
"""func make_failure_cases :: NetworkProbability, Int -> SimulationBatch
----
like `make_failures` but makes `count` *after* reducing.
Monte Carlo sample the network for unexpected changes.
e.g. new outages (failures), actual weather, actual load level, etc.
"""
batch = SimulationBatch()
current = 0
while len(batch) < count:
batch.add(prob.failures(str(current)))
current += 1
EnsureEqual(count, len(batch))
return batch