examples.updating.update0_1to1_0¶
How to update scripts from version 0.1 to 1.0.
It seems unlikely that many users are still running FiPy 0.1, but for those that are, the syntax of FiPy scripts changed considerably between version 0.1 and version 1.0. We incremented the full version-number to stress that previous scripts are incompatible. We strongly believe that these changes are for the better, resulting in easier code to write and read as well as slightly improved efficiency, but we realize that this represents an inconvenience to our users that have already written scripts of their own. We will strive to avoid any such incompatible changes in the future.
Any scripts you have written for FiPy 0.1 should be updated in two steps,
first to work with FiPy 1.0, and then with FiPy 2.0. As a tutorial for
updating your scripts, we will walk through updating
examples/convection/exponential1D/input.py
from FiPy 0.1. If you attempt to
run that script with FiPy 1.0, the script will fail and you will see the
errors shown below:
This example solves the steady-state convection-diffusion equation given by:
with coefficients
>>> diffCoeff = 1.
>>> convCoeff = (10., 0.)
We define a 1D mesh
>>> L = 10.
>>> nx = 1000
>>> ny = 1
>>> from fipy.meshes.grid2D import Grid2D
>>> mesh = Grid2D(L / nx, L / ny, nx, ny)
and impose the boundary conditions
or
>>> valueLeft = 0.
>>> valueRight = 1.
>>> from fipy.boundaryConditions.fixedValue import FixedValue
>>> from fipy.boundaryConditions.fixedFlux import FixedFlux
>>> boundaryConditions = (
... FixedValue(mesh.getFacesLeft(), valueLeft),
... FixedValue(mesh.getFacesRight(), valueRight),
... FixedFlux(mesh.getFacesTop(), 0.),
... FixedFlux(mesh.getFacesBottom(), 0.)
... )
The solution variable is initialized to valueLeft:
>>> from fipy.variables.cellVariable import CellVariable
>>> var = CellVariable(
... name = "concentration",
... mesh = mesh,
... value = valueLeft)
The SteadyConvectionDiffusionScEquation
object is
used to create the equation. It needs to be passed a convection term
instantiator as follows:
>>> from fipy.terms.exponentialConvectionTerm import ExponentialConvectionTerm
>>> from fipy.solvers import *
>>> from fipy.equations.stdyConvDiffScEquation import SteadyConvectionDiffusionScEquation
Traceback (most recent call last):
...
ImportError: No module named equations.stdyConvDiffScEquation
>>> eq = SteadyConvectionDiffusionScEquation(
... var = var,
... diffusionCoeff = diffCoeff,
... convectionCoeff = convCoeff,
... solver = LinearLUSolver(tolerance = 1.e-15, steps = 2000),
... convectionScheme = ExponentialConvectionTerm,
... boundaryConditions = boundaryConditions
... )
Traceback (most recent call last):
...
NameError: name 'SteadyConvectionDiffusionScEquation' is not defined
More details of the benefits and drawbacks of each type of convection
term can be found in the numerical section of the manual. Essentially
the ExponentialConvectionTerm
and PowerLawConvectionTerm
will both
handle most types of convection diffusion cases with the
PowerLawConvectionTerm
being more efficient.
We iterate to equilibrium
>>> from fipy.iterators.iterator import Iterator
>>> it = Iterator((eq,))
Traceback (most recent call last):
...
NameError: name 'eq' is not defined
>>> it.timestep()
Traceback (most recent call last):
...
NameError: name 'it' is not defined
and test the solution against the analytical result
or
>>> axis = 0
>>> x = mesh.getCellCenters()[:, axis]
>>> from fipy.tools import numerix
>>> CC = 1. - numerix.exp(-convCoeff[axis] * x / diffCoeff)
>>> DD = 1. - numerix.exp(-convCoeff[axis] * L / diffCoeff)
>>> analyticalArray = CC / DD
>>> numerix.allclose(analyticalArray, var, rtol = 1e-10, atol = 1e-10)
0
If the problem is run interactively, we can view the result:
>>> if __name__ == '__main__':
... from fipy.viewers.grid2DGistViewer import Grid2DGistViewer
Traceback (most recent call last):
...
ImportError: No module named grid2DGistViewer
... viewer = Grid2DGistViewer(var)
... viewer.plot()
We see that a number of errors are thrown:
ImportError: No module named equations.stdyConvDiffScEquation
NameError: name 'SteadyConvectionDiffusionScEquation' is not defined
NameError: name 'eq' is not defined
NameError: name 'it' is not defined
ImportError: No module named grid2DGistViewer
As is usually the case with computer programming, many of these errors are caused by earlier errors. Let us update the script, section by section:
Although no error was generated by the use of Grid2D
, FiPy 1.0 supports
a true 1D mesh class, so we instantiate the mesh as
>>> L = 10.
>>> nx = 1000
>>> from fipy.meshes.grid1D import Grid1D
>>> mesh = Grid1D(dx = L / nx, nx = nx)
The Grid2D
class with ny = 1 still works perfectly well for 1D
problems, but the Grid1D
class is slightly more efficient, and it makes
the code clearer when a 1D geometry is actually desired.
Because the mesh is now 1D, we must update the convection coefficient vector to be 1D as well
>>> diffCoeff = 1.
>>> convCoeff = (10.,)
The FixedValue
boundary conditions at the left and right are unchanged,
but a Grid1D mesh does not even have top and bottom faces:
>>> valueLeft = 0.
>>> valueRight = 1.
>>> from fipy.boundaryConditions.fixedValue import FixedValue
>>> boundaryConditions = (
... FixedValue(mesh.getFacesLeft(), valueLeft),
... FixedValue(mesh.getFacesRight(), valueRight))
The creation of the solution variable is unchanged:
>>> from fipy.variables.cellVariable import CellVariable
>>> var = CellVariable(name = "concentration",
... mesh = mesh,
... value = valueLeft)
The biggest change between FiPy 0.1 and FiPy 1.0 is that Equation
objects no longer exist at all. Instead, Term
objects can be simply
added, subtracted, and equated to assemble an equation. Where before the
assembly of the equation occurred in the black-box of
SteadyConvectionDiffusionScEquation
, we now assemble it directly:
>>> from fipy.terms.implicitDiffusionTerm import ImplicitDiffusionTerm
>>> diffTerm = ImplicitDiffusionTerm(coeff = diffCoeff)
>>> from fipy.terms.exponentialConvectionTerm import ExponentialConvectionTerm
>>> eq = diffTerm + ExponentialConvectionTerm(coeff = convCoeff,
... diffusionTerm = diffTerm)
One thing that SteadyConvectionDiffusionScEquation
took care of
automatically was that a ConvectionTerm
must know about any
DiffusionTerm
in the equation in order to calculate a Péclet number.
Now, the DiffusionTerm
must be explicitly passed to the ConvectionTerm
in the diffusionTerm parameter.
The Iterator
class still exists, but it is no longer necessary. Instead,
the solution to an implicit steady-state problem like this can simply be
obtained by telling the equation to solve itself (with an appropriate
solver if desired, although the default LinearPCGSolver
is usually
suitable):
>>> from fipy.solvers import *
>>> eq.solve(var = var,
... solver = LinearLUSolver(tolerance = 1.e-15, steps = 2000),
... boundaryConditions = boundaryConditions)
Note
In version 0.1, the Equation
object had to be
told about the Variable
, Solver
,
and BoundaryCondition
objects
when it was created (and it, in turn, passed much of this information to
the Term
objects in order to create them). In version
1.0, the Term
objects (and the equation assembled
from them) are abstract.
The Variable
, Solver
,
and BoundaryCondition
objects
are only needed by the solve()
method (and, in fact, the same equation
could be used to solve different variables, with different solvers, subject
to different boundary conditions, if desired).
The analytical solution is unchanged, and we can test as before
>>> numerix.allclose(analyticalArray, var, rtol = 1e-10, atol = 1e-10)
1
or we can use the slightly simpler syntax
>>> print(var.allclose(analyticalArray, rtol = 1e-10, atol = 1e-10))
1
The ImportError: No module named grid2DGistViewer
results because the
Viewer
classes have been moved and renamed. This error could be resolved
by changing the import statement appropriately:
>>> if __name__ == '__main__':
... from fipy.viewers.gistViewer.gist1DViewer import Gist1DViewer
... viewer = Gist1DViewer(vars = var)
... viewer.plot()
Instead, rather than instantiating a particular Viewer
(which you can
still do, if you desire), a generic “factory” method will return a Viewer
appropriate for the supplied Variable object(s):
>>> if __name__ == '__main__':
... import fipy.viewers
... viewer = fipy.viewers.make(vars = var)
... viewer.plot()
Please do not hesitate to contact us if this example does not help you convert your existing scripts to FiPy 1.0.