mirror of
https://github.com/smyalygames/FiniteVolumeGPU.git
synced 2026-01-14 15:48:43 +01:00
Refactoring - broke 2nd order
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@@ -159,16 +159,9 @@ class BaseSimulator(object):
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def simulate(self, t_end):
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"""
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Function which simulates forward in time using the default simulation type
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"""
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raise(exceptions.NotImplementedError("Needs to be implemented in subclass"))
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def simulateEuler(self, t_end):
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"""
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Function which simulates t_end seconds using forward Euler
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Requires that the stepEuler functionality is implemented in the subclasses
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Function which simulates t_end seconds using the step function
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Requires that the step() function is implemented in the subclasses
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"""
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# Compute number of timesteps to perform
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n = int(t_end / self.dt + 1)
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@@ -176,15 +169,16 @@ class BaseSimulator(object):
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printer = Common.ProgressPrinter(n)
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for i in range(0, n):
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# Compute timestep for "this" iteration
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# Compute timestep for "this" iteration (i.e., shorten last timestep)
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local_dt = np.float32(min(self.dt, t_end-i*self.dt))
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# Stop if end reached (should not happen)
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if (local_dt <= 0.0):
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self.logger.warning("Timestep size {:d} is less than or equal to zero!".format(self.nt + i))
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break
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# Step with forward Euler
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self.stepEuler(local_dt)
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# Step forward in time
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self.step(local_dt)
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#Print info
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print_string = printer.getPrintString(i)
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@@ -200,96 +194,10 @@ class BaseSimulator(object):
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#self.logger.info("%s simulated %f seconds to %f with %d steps (Euler)", self, t_end, self.t, n)
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return self.t, n
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def simulateRK(self, t_end, order):
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"""
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Function which simulates t_end seconds using Runge-Kutta 2
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Requires that the stepRK functionality is implemented in the subclasses
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"""
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# Compute number of timesteps to perform
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n = int(t_end / self.dt + 1)
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printer = Common.ProgressPrinter(n)
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for i in range(0, n):
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# Compute timestep for "this" iteration
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local_dt = np.float32(min(self.dt, t_end-i*self.dt))
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# Stop if end reached (should not happen)
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if (local_dt <= 0.0):
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break
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# Perform all the Runge-Kutta substeps
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self.stepRK(local_dt, order)
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#Print info
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print_string = printer.getPrintString(i)
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if (print_string):
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self.logger.info("%s (RK2): %s", self, print_string)
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try:
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self.check()
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except AssertionError as e:
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e.args += ("Step={:d}, time={:f}".format(self.simSteps(), self.simTime()))
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raise
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return self.t, n
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def simulateDimsplit(self, t_end):
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def step(self, dt):
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"""
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Function which simulates t_end seconds using second order dimensional splitting (XYYX)
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Requires that the stepDimsplitX and stepDimsplitY functionality is implemented in the subclasses
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"""
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# Compute number of timesteps to perform
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n = int(t_end / (2.0*self.dt) + 1)
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printer = Common.ProgressPrinter(n)
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for i in range(0, n):
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# Compute timestep for "this" iteration
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local_dt = np.float32(0.5*min(2*self.dt, t_end-2*i*self.dt))
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# Stop if end reached (should not happen)
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if (local_dt <= 0.0):
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break
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# Perform the dimensional split substeps
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self.stepDimsplitXY(local_dt)
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self.stepDimsplitYX(local_dt)
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#Print info
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print_string = printer.getPrintString(i)
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if (print_string):
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self.logger.info("%s (Dimsplit): %s", self, print_string)
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try:
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self.check()
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except AssertionError as e:
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e.args += ("Step={:d}, time={:f}".format(self.simSteps(), self.simTime()))
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raise
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return self.t, 2*n
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def stepEuler(self, dt):
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"""
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Function which performs one single timestep of size dt using forward euler
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"""
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raise(NotImplementedError("Needs to be implemented in subclass"))
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def stepRK(self, dt, substep):
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"""
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Function which performs one single timestep of size dt using Runge-Kutta
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"""
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raise(NotImplementedError("Needs to be implemented in subclass"))
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def stepDimsplitXY(self, dt):
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"""
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Function which performs one single timestep of size dt using dimensional splitting
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"""
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raise(NotImplementedError("Needs to be implemented in subclass"))
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def stepDimsplitYX(self, dt):
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"""
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Function which performs one single timestep of size dt using dimensional splitting
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Function which performs one single timestep of size dt
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"""
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raise(NotImplementedError("Needs to be implemented in subclass"))
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