mirror of
https://github.com/smyalygames/FiniteVolumeGPU.git
synced 2026-01-14 15:48:43 +01:00
Refactoring
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@@ -83,9 +83,6 @@ class BaseSimulator:
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#Keep track of simulation time and number of timesteps
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self.t = 0.0
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self.nt = 0
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#Log progress every n seconds during simulation
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self.log_every = 5
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def __str__(self):
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@@ -102,31 +99,30 @@ class BaseSimulator:
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Requires that the stepEuler functionality is implemented in the subclasses
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"""
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def simulateEuler(self, t_end):
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with Common.Timer(self.__class__.__name__ + ".simulateEuler") as t:
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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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# Compute number of timesteps to perform
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n = int(t_end / self.dt + 1)
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next_print = self.log_every
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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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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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# Step with forward Euler
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self.stepEuler(local_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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# Step with forward Euler
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self.stepEuler(local_dt)
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#Print info
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if (t.elapsed() >= next_print):
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self.logger.info("%s simulated %d of %d steps (Euler)", self, i, n)
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next_print += self.log_every
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self.check()
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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 (Euler): %s", self, print_string)
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self.check()
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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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#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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"""
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@@ -134,30 +130,28 @@ class BaseSimulator:
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Requires that the stepRK functionality is implemented in the subclasses
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"""
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def simulateRK(self, t_end, order):
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with Common.Timer(self.__class__.__name__ + ".simulateRK") as t:
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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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# 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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next_print = self.log_every
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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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if (t.elapsed() >= next_print):
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self.logger.info("%s simulated %d of %d steps (RK2)", self, i, n)
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next_print += self.log_every
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self.check()
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self.logger.info("%s simulated %f seconds to %f with %d steps (RK2)", self, t_end, self.t, n)
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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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self.check()
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return self.t, n
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"""
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@@ -165,31 +159,29 @@ class BaseSimulator:
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Requires that the stepDimsplitX and stepDimsplitY functionality is implemented in the subclasses
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"""
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def simulateDimsplit(self, t_end):
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with Common.Timer(self.__class__.__name__ + ".simulateDimsplit") as t:
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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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next_print = self.log_every
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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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if (t.elapsed() >= next_print):
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self.logger.info("%s simulated %d of %d steps (Dimsplit)", self, i, n)
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next_print += self.log_every
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self.check()
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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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self.check()
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self.logger.info("%s simulated %f seconds to %f with %d steps (Dimsplit)", self, t_end, self.t, 2*n)
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return self.t, 2*n
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