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interfaceFlagVariable.py
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interfaceFlagVariable.py
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#!/usr/bin/env python
## -*-Pyth-*-
# ###################################################################
# FiPy - Python-based finite volume PDE solver
#
# FILE: "interfaceFlagVariable.py"
#
# Author: Jonathan Guyer <guyer@nist.gov>
# Author: Daniel Wheeler <daniel.wheeler@nist.gov>
# Author: James Warren <jwarren@nist.gov>
# mail: NIST
# www: http://www.ctcms.nist.gov/fipy/
#
# ========================================================================
# This software was developed at the National Institute of Standards
# and Technology by employees of the Federal Government in the course
# of their official duties. Pursuant to title 17 Section 105 of the
# United States Code this software is not subject to copyright
# protection and is in the public domain. FiPy is an experimental
# system. NIST assumes no responsibility whatsoever for its use by
# other parties, and makes no guarantees, expressed or implied, about
# its quality, reliability, or any other characteristic. We would
# appreciate acknowledgement if the software is used.
#
# This software can be redistributed and/or modified freely
# provided that any derivative works bear some notice that they are
# derived from it, and any modified versions bear some notice that
# they have been modified.
# ========================================================================
#
# ###################################################################
##
__docformat__ = 'restructuredtext'
from fipy.variables.cellVariable import CellVariable
from fipy.tools.numerix import MA
from fipy.tools import numerix
class _InterfaceFlagVariable(CellVariable):
def __init__(self, distanceVar):
"""
Creates an `_InterfaceFlagVariable` object.
:Parameters:
- `distanceVar` : A `DistanceVariable` object.
"""
CellVariable.__init__(self, distanceVar.mesh, hasOld=False)
self.distanceVar = self._requires(distanceVar)
def _calcValue(self):
flag = MA.filled(numerix.take(self.distanceVar._interfaceFlag, self.mesh.cellFaceIDs), 0)
flag = numerix.sum(flag, axis=0)
return numerix.where(numerix.logical_and(self.distanceVar.value > 0, flag > 0), 1, 0)