def initialize(self, normalizer):
"""
Initialize time step algorithm.
"""
logEvent = "%sinit" % self._loggingPrefix
self._eventLogger.eventBegin(logEvent)
TimeStep.initialize(self, normalizer)
self._readSteps()
assert(len(self.steps) > 0)
assert(self.index == 0)
# Nondimensionalize time steps
timeScale = normalizer.timeScale()
self.totalTimeN = normalizer.nondimensionalize(self.totalTime, timeScale)
for i in xrange(len(self.steps)):
step = normalizer.nondimensionalize(self.steps[i], timeScale)
assert(step > 0.0)
self.steps[i] = step
# Set current time step
self.dtN = self.steps[self.index]
self._eventLogger.eventEnd(logEvent)
return
def initialize(self, normalizer):
"""
Initialize time step algorithm.
"""
logEvent = "%sinit" % self._loggingPrefix
self._eventLogger.eventBegin(logEvent)
TimeStep.initialize(self, normalizer)
self._readSteps()
assert (len(self.steps) > 0)
assert (self.index == 0)
# Nondimensionalize time steps
timeScale = normalizer.timeScale()
self.totalTimeN = normalizer.nondimensionalize(self.totalTime,
timeScale)
for i in xrange(len(self.steps)):
step = normalizer.nondimensionalize(self.steps[i], timeScale)
assert (step > 0.0)
self.steps[i] = step
# Set current time step
self.dtN = self.steps[self.index]
self._eventLogger.eventEnd(logEvent)
return
def initialize(self, normalizer):
"""
Initialize time step algorithm.
"""
logEvent = "%sinit" % self._loggingPrefix
self._eventLogger.eventBegin(logEvent)
TimeStep.initialize(self, normalizer)
# Nondimensionalize time scales
timeScale = normalizer.timeScale()
self.maxDtN = normalizer.nondimensionalize(self.maxDt, timeScale)
self._eventLogger.eventEnd(logEvent)
return
