from fipy.terms.implicitSourceTerm import ImplicitSourceTerm
phaseEq = TransientTerm(tau) == ExplicitDiffusionTerm(D) + \
ImplicitSourceTerm(mVar * ((mVar < 0) - phase)) + \
((mVar > 0.) * mVar * phase + anisotropySource)
from fipy.terms.implicitDiffusionTerm import ImplicitDiffusionTerm
temperatureEq = TransientTerm() == \
ImplicitDiffusionTerm(tempDiffusionCoeff) + \
(phase - phase.getOld()) / timeStepDuration
bench.stop('terms')
phase.updateOld()
temperature.updateOld()
phaseEq.solve(phase, dt=timeStepDuration)
temperatureEq.solve(temperature, dt=timeStepDuration)
steps = 10
bench.start()
for i in range(steps):
phase.updateOld()
temperature.updateOld()
phaseEq.solve(phase, dt=timeStepDuration)
temperatureEq.solve(temperature, dt=timeStepDuration)
bench.stop('solve')
print bench.report(numberOfElements=numberOfElements, steps=steps)
$ python setup.py efficiency_test
"""
__docformat__ = 'restructuredtext'
if __name__ == "__main__":
from fipy.tools.parser import parse
from benchmarker import Benchmarker
bench = Benchmarker()
numberOfElements = parse('--numberOfElements',
action='store',
type='int',
default=100)
bench.start()
from fipy.tools import numerix
nx = int(numerix.sqrt(numberOfElements))
ny = nx
dx = 1.
dy = 1.
from fipy.meshes.grid2D import Grid2D
mesh = Grid2D(nx=nx, ny=nx, dx=dx, dy=dy)
bench.stop('mesh')
print bench.report(numberOfElements=numberOfElements)
bench.stop('variables')
bench.start()
D = 1.
from fipy.terms.implicitDiffusionTerm import ImplicitDiffusionTerm
from fipy.terms.transientTerm import TransientTerm
eq = TransientTerm() == ImplicitDiffusionTerm(coeff=D)
bench.stop('terms')
## from fipy import viewers
## viewer = viewers.make(vars = C, limits = {'datamin': 0, 'datamax': 1})
## viewer.plot()
## raw_input("initial")
bench.start()
dt = 1e0
steps = 1
for step in range(steps):
eq.solve(var=C, dt=dt)
## viewer.plot()
bench.stop('solve')
print bench.report(numberOfElements=N, steps=steps)
## raw_input("finished")
dt=dt,
boundaryConditions=catalystBCs)
bench.start()
for step in range(numberOfSteps):
if step % levelSetUpdateFrequency == 0:
distanceVar.calcDistanceFunction()
extensionVelocityVariable.setValue(depositionRateVariable())
distanceVar.updateOld()
catalystVar.updateOld()
metalVar.updateOld()
bulkCatalystVar.updateOld()
distanceVar.extendVariable(extensionVelocityVariable)
dt = cflNumber * cellSize / numerix.max(extensionVelocityVariable)
advectionEquation.solve(distanceVar, dt=dt)
surfactantEquation.solve(catalystVar, dt=dt)
metalEquation.solve(metalVar,
dt=dt,
boundaryConditions=metalEquationBCs)
bulkCatalystEquation.solve(bulkCatalystVar,
dt=dt,
boundaryConditions=catalystBCs)
bench.stop('solve')
print bench.report(numberOfElements=numberOfElements, steps=numberOfSteps)
r"""
This example benchmarks the speed and memory usage of creating a mesh. Run:
$ python setup.py efficiency_test
"""
__docformat__ = 'restructuredtext'
if __name__ == "__main__":
from fipy.tools.parser import parse
from benchmarker import Benchmarker
bench = Benchmarker()
numberOfElements = parse('--numberOfElements', action = 'store', type = 'int', default = 100)
bench.start()
from fipy.tools import numerix
nx = int(numerix.sqrt(numberOfElements))
ny = nx
dx = 1.
dy = 1.
from fipy.meshes.grid2D import Grid2D
mesh = Grid2D(nx = nx, ny = nx, dx = dx, dy = dy)
bench.stop('mesh')
print bench.report(numberOfElements=numberOfElements)