source: src/Fragmentation/Summation/OrthogonalSummator.hpp@ e0ae58d

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Last change on this file since e0ae58d was a3fc46, checked in by Frederik Heber <heber@…>, 12 years ago

FIX: Fixed printKeyName inclusions a bit.

  • they are now inline functions.
  • Property mode set to 100644
File size: 6.7 KB
Line 
1/*
2 * OrthogonalSummator.hpp
3 *
4 * Created on: 28.07.2012
5 * Author: heber
6 */
7
8#ifndef ORTHOGONALSUMMATOR_HPP_
9#define ORTHOGONALSUMMATOR_HPP_
10
11// include config.h
12#ifdef HAVE_CONFIG_H
13#include <config.h>
14#endif
15
16#include <boost/fusion/sequence.hpp>
17
18#include <iterator>
19
20#include "CodePatterns/Assert.hpp"
21
22#include "Fragmentation/Summation/OrthogonalSummation.hpp"
23#include "Fragmentation/Summation/SetValue.hpp"
24
25/** OrthogonalSummator is a general class for making us of OrthogonalSummation.
26 *
27 * The idea is that we want to sum up not only one value but a whole bunch of.
28 * However, in general the types of the values will all differ. We would like
29 * to call the summation in a as simple a fashion as possible and at best in
30 * a kind of for_each on each type/value.
31 * For this purpose we require a list of all the types, represented by the
32 * MPQCDataMap_t map that uses the types enumerated in namespace MPQCDataFused,
33 * see the simple example for the associative sequence in boost::fusion.
34 * The MPQCDataMap_t then gives the essential mapping from the type to a specific
35 * key. Via this key, which is a type and hence can be used for template
36 * specification, we may gather all information for launching the
37 * OrthogonalSummation. We only need to convert MPQCData into the above
38 * MPQCDataMap_t instance and may then access the member variables via the above
39 * key and also obtain the type at \b run-time through the key.
40 *
41 * Note that we then need a conversion from the type stored in the MPQCData,
42 * e.g. a vector<double>, to the type in MPQCDataMap_t, e.g. Histogram.
43 *
44 * Boost::fusion is very cool! If we have a namespace with just structs as keys
45 * and the fusion::map from these keys to the true types, then we may do ...
46 * \code
47 * MPQCDataMap_t MPQCDataMap;
48 * using namespace MPQCDataFused;
49 * double MPQCData_energy_total = boost::fusion::at_key<MPQCDataFused::energy_total>(MPQCDataMap);
50 * \endcode
51 * i.e. at_key knows the correct type!
52 *
53 */
54template <typename MapType, typename MapKey>
55struct OrthogonalSummator {
56 /** We retrieve the type of the MPQCData member variable from the
57 * boost::fusion::map and stored it in this typedef. Note that for
58 * internal types (e.g. MapValue::const_iterator we need to place
59 * \b typename before).
60 */
61 typedef typename boost::fusion::result_of::value_at_key<MapType, MapKey>::type MapValue;
62
63 /** Constructor for class OrthogonalSummator.
64 *
65 * \param _subsetmap map with hierarchy of IndexSet's
66 * \param _data MPQCData converted to MPQCDataMap_t type, associated to job id
67 * \param _container container of IndexSet's such that each set has correct order
68 * to job id and hence to _data.
69 * \param _MatrixNrLookup lookup from job id to ordering in above vectors
70 */
71 OrthogonalSummator(
72 SubsetMap::ptr &_subsetmap,
73 const std::map<JobId_t, MapType> &_data,
74 const IndexSetContainer::Container_t &_container,
75 const std::map< JobId_t, size_t > &_MatrixNrLookup) :
76 indices(getSubsets(_data.size(),_container)),
77 values(createValues(_data, _container, _MatrixNrLookup)),
78 OS(indices, values, _subsetmap)
79 {
80 ASSERT( _data.size() == _MatrixNrLookup.size(),
81 "OrthogonalSummator() - ids and MatrixNrLookup don't have same size.");
82 }
83
84 /** Summation operator.
85 *
86 * Initialises instantiated OrthogonalSummation of the respective type via
87 * \a OrthogonalSummator::data, uses OrthogonalSummation::operator() to sum and returns
88 * the result.
89 *
90 * \param level up to which level to sum up
91 * \return result of OrthogonalSummation for given type from MPQCDataMap_t.
92 */
93 MapValue operator()(const size_t level)
94 {
95 // evaluate
96 const MapValue result = OS(level);
97 return result;
98 }
99
100 /** Getter for the contribution of the SetValue<> to a specific \a index.
101 *
102 * @param index SetValue to this index
103 * @return contribution
104 */
105 MapValue getContributionForIndexSet(const IndexSet::ptr &ptr) const
106 {
107 typedef SetValueMap<MapValue> setvalues_t;
108 const setvalues_t &values = OS.getSetValues();
109 return values.getConstValue(ptr)->getContribution();
110 }
111
112 /** Getter for the value of the SetValue<> to a specific \a index.
113 *
114 * @param index SetValue to this index
115 * @return value
116 */
117 MapValue getValueForIndexSet(const IndexSet::ptr &ptr) const
118 {
119 typedef SetValueMap<MapValue> setvalues_t;
120 const setvalues_t &values = OS.getSetValues();
121 return values.getConstValue(ptr)->getValue();
122 }
123
124private:
125 /** Tiny helper to create the indices from a given IndexSetContainer.
126 *
127 * Basically, we just have to make sure we miss the last one but only
128 * if the \a container has more than one set.
129 *
130 * @param count how many indices of container to use
131 * @param container container with IndexSet
132 * @return all subsets contained in \a container
133 */
134 typename OrthogonalSummation<MapValue>::InputSets_t getSubsets(
135 const size_t count,
136 const IndexSetContainer::Container_t &container)
137 {
138 IndexSetContainer::Container_t::const_iterator iter = container.begin();
139 std::advance(iter, count); // step till after desired element
140 typename OrthogonalSummation<MapValue>::InputSets_t indices(container.begin(), iter);
141 return indices;
142 }
143
144 /** Tiny helper to create the values for the summation in the correct order.
145 *
146 * @param data
147 * @param container
148 * @param MatrixNrLookup
149 * @return
150 */
151 typename OrthogonalSummation<MapValue>::InputValues_t createValues(
152 const std::map<JobId_t, MapType> &data,
153 const IndexSetContainer::Container_t &container,
154 const std::map< JobId_t, size_t > &MatrixNrLookup)
155 {
156 // if the power set of , we don't need to get rid of the "union index set"
157 typename OrthogonalSummation<MapValue>::InputValues_t values(data.size());
158 for (typename std::map<JobId_t, MapType>::const_iterator dataiter = data.begin();
159 dataiter != data.end(); ++dataiter) {
160 const MapType &Data = dataiter->second;
161 const JobId_t &jobid = dataiter->first;
162 const MapValue &value = boost::fusion::at_key<MapKey>(Data);
163 const std::map< JobId_t, size_t >::const_iterator nriter = MatrixNrLookup.find(jobid);
164 ASSERT( nriter != MatrixNrLookup.end(),
165 "OrthogonalSummation<>::createValues() - MatrixNrLookup does not contain id "
166 +toString(jobid)+".");
167 values[ nriter->second ] = value;
168 }
169 return values;
170 }
171private:
172 //!> created indices for OS such that we may hand over refs
173 typename OrthogonalSummation<MapValue>::InputSets_t indices;
174 //!> created values for OS such that we may hand over refs
175 typename OrthogonalSummation<MapValue>::InputValues_t values;
176 //!> Summation instance to use in operator()(level)
177 OrthogonalSummation<MapValue> OS;
178};
179
180
181#endif /* ORTHOGONALSUMMATOR_HPP_ */
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