Zoltan2_ImbalanceMetrics.hpp

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// @HEADER
// *****************************************************************************
//   Zoltan2: A package of combinatorial algorithms for scientific computing
//
// Copyright 2012 NTESS and the Zoltan2 contributors.
// SPDX-License-Identifier: BSD-3-Clause
// *****************************************************************************
// @HEADER

#ifndef ZOLTAN2_IMBALANCEMETRICS_HPP
#define ZOLTAN2_IMBALANCEMETRICS_HPP

#include <Zoltan2_BaseClassMetrics.hpp>
#include <Zoltan2_GraphModel.hpp>
#include <Zoltan2_MetricUtility.hpp>

#define IMBALANCE_METRICS_TYPE_NAME "ImbalanceMetrics"

namespace Zoltan2{

template <typename scalar_t>
  class ImbalanceMetrics : public BaseClassMetrics<scalar_t> {

private:
  multiCriteriaNorm mcnorm_;   // store "actualNorm + 1"

public:
ImbalanceMetrics(std::string mname) : BaseClassMetrics<scalar_t>(static_metricNames_.size(), mname),mcnorm_(multiCriteriaNorm(0)) {}

ImbalanceMetrics() : BaseClassMetrics<scalar_t>(static_metricNames_.size()), mcnorm_(multiCriteriaNorm(0)) {}

virtual const std::string & getMetricType() const { return static_metricTypeName_; }

static void printHeader(std::ostream &os);

virtual void printLine(std::ostream &os) const;

void setNorm(multiCriteriaNorm normVal) { mcnorm_ = multiCriteriaNorm(normVal+1);}

multiCriteriaNorm getNorm() { return multiCriteriaNorm(mcnorm_-1);}

void setLocalSum(scalar_t x) { this->setMetricValue("local sum", x);}

void setGlobalSum(scalar_t x) { this->setMetricValue("global sum", x );}

void setGlobalMin(scalar_t x) { this->setMetricValue("global minimum", x );}

void setGlobalMax(scalar_t x) { this->setMetricValue("global maximum", x );}

void setMaxImbalance(scalar_t x) { this->setMetricValue("maximum imbalance", x);}

void setAvgImbalance(scalar_t x) { this->setMetricValue("average imbalance", x);}

scalar_t getLocalSum() const { return this->getMetricValue("local sum");}

scalar_t getGlobalSum() const { return this->getMetricValue("global sum");}

scalar_t getGlobalMin() const { return this->getMetricValue("global minimum");}

scalar_t getGlobalMax() const { return this->getMetricValue("global maximum");}

scalar_t getMaxImbalance() const { return this->getMetricValue("maximum imbalance");}

scalar_t getAvgImbalance() const { return this->getMetricValue("average imbalance");}

virtual const std::vector<std::string> & getMetrics() const { return ImbalanceMetrics<scalar_t>::static_metricNames_; }

static std::string static_metricTypeName_;

static std::vector<std::string> static_metricNames_;
};  // end class

template <typename scalar_t> std::string ImbalanceMetrics<scalar_t>::static_metricTypeName_ = IMBALANCE_METRICS_TYPE_NAME;

template <typename scalar_t>
std::vector<std::string> ImbalanceMetrics<scalar_t>::static_metricNames_ = {
  "local sum",
  "global sum",
  "global minimum",
  "global maximum",
  "global average",
  "average imbalance",
  "maximum imbalance",
};

template <typename scalar_t>
  void ImbalanceMetrics<scalar_t>::printHeader(std::ostream &os)
{
  os << std::setw(20) << " ";
  os << std::setw(15) << "min" << std::setw(15) << "max" << std::setw(15) << "avg";
  os << std::setw(2) << " ";
  os << std::setw(10) << "imbalance";
  os << std::endl;
}

template <typename scalar_t>
  void ImbalanceMetrics<scalar_t>::printLine(std::ostream &os) const
{
  std::string label( this->getName() );
  if (mcnorm_ > 0){
    multiCriteriaNorm realNorm = multiCriteriaNorm(mcnorm_ - 1);
    std::ostringstream oss;
    switch (realNorm) {
      case normMinimizeTotalWeight:   // 1-norm = Manhattan norm
        oss << this->getName() << " (1)";
        break;
      case normBalanceTotalMaximum:   // 2-norm = sqrt of sum of squares
        oss << this->getName() << " (2)";
        break;
      case normMinimizeMaximumWeight: // inf-norm = maximum norm
        oss << this->getName() << " (inf)";
        break;
      default:
        oss << this->getName() << " (?)";
        break;
    }

    label = oss.str();
  }

  auto min = this->getMetricValue("global minimum");
  auto max = this->getMetricValue("global maximum");
  auto avg = this->getMetricValue("global average");
  int precision = 4;
  if( min > 999 ) { precision = 0; }
  else if( min > 99 ) { precision = 2; }

  os << std::setw(20) << label;
  os << std::setw(15) << std::setprecision(precision) << min;
  os << std::setw(15) << std::setprecision(precision) << max;
  os << std::setw(15) << std::setprecision(precision) << avg;

  os << std::setw(2) << " ";
  os << std::setw(10) << std::setprecision(4) 
     << this->getMetricValue("maximum imbalance");

  os << std::endl;
}
} // namespace Zoltan2
#endif