SundanceCurveNormEvaluator.cpp

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// 
//                              Sundance
//                 Copyright (2005) Sandia Corporation
// 
// Copyright (year first published) Sandia Corporation.  Under the terms 
// of Contract DE-AC04-94AL85000 with Sandia Corporation, the U.S. Government 
// retains certain rights in this software.
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// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
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#include "SundanceCurveNormEvaluator.hpp"
#include "SundanceSubtypeEvaluator.hpp"
#include "SundanceEvalManager.hpp"
#include "SundanceCurveNormExpr.hpp"
#include "PlayaExceptions.hpp"
#include "SundanceSet.hpp"
#include "PlayaTabs.hpp"
#include "SundanceOut.hpp"

using namespace Sundance;
using namespace Teuchos;


CurveNormEvaluator::CurveNormEvaluator(
  const CurveNormExpr* expr,
  const EvalContext& context)
  : SubtypeEvaluator<CurveNormExpr>(expr, context),
    stringRep_(expr->toString())
{

  Tabs tabs;
  int verb = context.setupVerbosity();
  SUNDANCE_MSG1(verb, tabs << "initializing cell diameter expr evaluator for " 
                    << expr->toString());
  SUNDANCE_MSG2(verb, tabs << "return sparsity " << std::endl << *(this->sparsity)());

  TEUCHOS_TEST_FOR_EXCEPTION(this->sparsity()->numDerivs() > 1, std::logic_error,
                     "CurveNormEvaluator ctor found a sparsity table "
                     "with more than one entry. The bad sparsity table is "
                     << *(this->sparsity)());

  /* 
   * There is only one possible entry in the nozeros table for a
   * cell diameter expression: a zeroth derivative.
   */
  
  for (int i=0; i<this->sparsity()->numDerivs(); i++)
    {
      const MultipleDeriv& d = this->sparsity()->deriv(i);

      TEUCHOS_TEST_FOR_EXCEPTION(d.order()!=0, std::logic_error,
                         "CurveNormEvaluator ctor found an entry in the "
                         "sparsity superset that is not a zeroth-order derivative. "
                         "The bad entry is " << this->sparsity()->deriv(i) 
                         << ". The superset is " 
                         << *(this->sparsity)());
      addVectorIndex(i, 0);
    }
}



void CurveNormEvaluator::internalEval(const EvalManager& mgr,
  Array<double>& constantResults,
  Array<RCP<EvalVector> >& vectorResults) const 
{
  Tabs tabs(0);

  SUNDANCE_MSG2(mgr.verb(), tabs << "CurveNormEvaluator::eval() expr="
    << expr()->toString());

  if (mgr.verb() > 2)
    {
      Out::os() << tabs << "sparsity = " 
                << std::endl << tabs << *(this->sparsity)() << std::endl;
    }

  if (this->sparsity()->numDerivs() > 0)
    {
      vectorResults.resize(1);
      vectorResults[0] = mgr.popVector();
      SUNDANCE_MSG3(mgr.verb(), tabs << "forwarding to evaluation manager");

      mgr.evalCurveNormExpr(expr(), vectorResults[0]);

      mgr.stack().setVecSize(vectorResults[0]->length());
      if (EvalVector::shadowOps()) vectorResults[0]->setString(stringRep_);
    }

  if (mgr.verb() > 1)
    {
      Out::os() << tabs << "results " << std::endl;
      mgr.showResults(Out::os(), this->sparsity(), vectorResults,
                            constantResults);
    }
}