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PRGraphVisitors.cpp
Go to the documentation of this file.
1 #include "PRGraphVisitors.h"
2 #include "AlgsExecutionStates.h"
3
4 #include "GaudiKernel/DataObjID.h"
5 #include "GaudiKernel/ICondSvc.h"
6
7 namespace concurrency
8 {
9
10 typedef AlgsExecutionStates::State State;
11
12 //--------------------------------------------------------------------------
13 bool DataReadyPromoter::visitEnter( AlgorithmNode& node ) const
14 {
15
16 if ( State::CONTROLREADY != m_slot->algsStates[node.getAlgoIndex()] ) return false;
17
18 return true;
19 }
20
21 //--------------------------------------------------------------------------
22 bool DataReadyPromoter::visit( AlgorithmNode& node )
23 {
24
25 bool result = true; // return true if this algorithm has no data inputs
26
27 for ( auto dataNode : node.getInputDataNodes() ) {
28
29 result = dataNode->accept( *this );
30
31 // With ConditionNodes, one may decide NOT to break here so that associated
32 // ConditionAlgorithms are scheduled ASAP. This behavior can be made configurable
33 if ( !result ) break; // skip checking other inputs if this input was not produced yet
34 }
35
36 if ( result ) {
37 m_slot->algsStates.updateState( node.getAlgoIndex(), State::DATAREADY ).ignore();
38
39 if ( m_trace ) {
40 auto sourceNode = ( m_cause.m_source == Cause::source::Task )
41 ? node.m_graph->getAlgorithmNode( m_cause.m_sourceName )
42 : nullptr;
43 node.m_graph->addEdgeToPrecTrace( sourceNode, &node );
44 }
45 }
46
47 // return true only if an algorithm is promoted to DR
48 return result;
49 }
50
51 //--------------------------------------------------------------------------
52 bool DataReadyPromoter::visitEnter( DataNode& ) const { return true; }
53
54 //--------------------------------------------------------------------------
55 bool DataReadyPromoter::visit( DataNode& node )
56 {
57 /* Implements 'observer' strategy, i.e., only check if producer of this DataNode
58 * has been already executed or not */
59
60 bool result = false; // return false if this DataNode has no producers at all
61
62 for ( auto algoNode : node.getProducers() ) {
63 const auto& state = m_slot->algsStates[algoNode->getAlgoIndex()];
64 if ( State::EVTACCEPTED == state || State::EVTREJECTED == state ) {
65 result = true;
66 break; // skip checking other producers if one was found to be executed
67 }
68 }
69
70 // return true only if this DataNode is produced
71 return result;
72 }
73
74 //--------------------------------------------------------------------------
75 bool DataReadyPromoter::visitEnter( ConditionNode& node ) const
76 {
77
78 if ( node.m_condSvc->isValidID( *( m_slot->eventContext ), node.getPath() ) )
79 return false; // do not enter this ConditionNode if the condition has bee already loaded
80
81 return true;
82 }
83
84 //--------------------------------------------------------------------------
85 bool DataReadyPromoter::visit( ConditionNode& node )
86 {
87 /* Implements 'requester' strategy, i.e., requests this ConditionNode to be loaded
88 * by its associated ConditionAlgorithm */
89
90 auto promoter = Supervisor( *m_slot, m_cause );
91
92 for ( auto condAlg : node.getProducers() ) condAlg->accept( promoter );
93
94 // this method is called if, and only if, this ConditionNode is not yet produced.
95 // thus, by definition, this ConditionNode is not yet available at this moment
96 return false;
97 }
98
99 //--------------------------------------------------------------------------
100 bool DecisionUpdater::visit( AlgorithmNode& node )
101 {
102
103 auto& states = m_slot->algsStates;
104 const State& state = states[node.getAlgoIndex()];
105 int decision = -1;
106
107 if ( true == node.isOptimist() )
108 decision = 1;
109 else if ( State::EVTACCEPTED == state )
110 decision = !node.isLiar();
111 else if ( State::EVTREJECTED == state )
112 decision = node.isLiar();
113
114 if ( -1 != decision ) {
115
116 m_slot->controlFlowState[node.getNodeIndex()] = decision;
117
118 auto promoter = DataReadyPromoter( *m_slot, m_cause, m_trace );
119 for ( const auto& output : node.getOutputDataNodes() )
120 for ( auto& consumer : output->getConsumers() ) consumer->accept( promoter );
121
122 auto vis = concurrency::Supervisor( *m_slot, m_cause, m_trace );
123 for ( auto& p : node.getParentDecisionHubs() ) p->accept( vis );
124
125 return true; // return true only if the algorithm produced a decision
126 }
127
128 return false;
129 }
130
131 //---------------------------------------------------------------------------
132 bool Supervisor::visitEnter( DecisionNode& node ) const
133 {
134
135 if ( m_slot->controlFlowState[node.getNodeIndex()] != -1 ) return false;
136 return true;
137 }
138
139 //---------------------------------------------------------------------------
140 bool Supervisor::visit( DecisionNode& node )
141 {
142
143 bool foundNonResolvedChild = false;
144 bool foundNegativeChild = false;
145 bool foundPositiveChild = false;
146 int decision = -1;
147
148 for ( auto child : node.getDaughters() ) {
149 int& childDecision = m_slot->controlFlowState[child->getNodeIndex()];
150
151 if ( childDecision == -1 )
152 foundNonResolvedChild = true;
153 else if ( childDecision == 1 )
154 foundPositiveChild = true;
155 else
156 foundNegativeChild = true;
157
158 if ( node.m_modePromptDecision ) {
159 if ( node.m_modeOR && foundPositiveChild ) {
160 decision = 1;
161 break;
162 } else if ( !node.m_modeOR && foundNegativeChild ) {
163 decision = 0;
164 break;
165 }
166 } else {
167 if ( foundNonResolvedChild ) break;
168 }
169 } // end monitoring children
170
171 if ( !foundNonResolvedChild && decision == -1 ) {
172 if ( node.m_modeOR ) { // OR
173 if ( foundPositiveChild )
174 decision = 1;
175 else
176 decision = 0;
177 } else { // AND
178 if ( foundNegativeChild )
179 decision = 0;
180 else
181 decision = 1;
182 }
183 }
184
185 if ( node.m_allPass && !foundNonResolvedChild ) decision = 1;
186
187 if ( decision != -1 ) {
188 m_slot->controlFlowState[node.getNodeIndex()] = decision;
189 return true;
190 }
191 return false;
192 }
193
194 //---------------------------------------------------------------------------
195 bool Supervisor::visitEnter( AlgorithmNode& node ) const
196 {
197
198 if ( m_slot->controlFlowState[node.getNodeIndex()] != -1 ) return false;
199 return true;
200 }
201
202 //--------------------------------------------------------------------------
203 bool Supervisor::visit( AlgorithmNode& node )
204 {
205
206 bool result = false;
207
208 auto& states = m_slot->algsStates;
209 auto& state = states[node.getAlgoIndex()];
210
211 // Promote with INITIAL->CR
212 if ( State::INITIAL == state ) states.updateState( node.getAlgoIndex(), State::CONTROLREADY ).ignore();
213
214 // Try to promote with CR->DR
215 if ( State::CONTROLREADY == state ) {
216 auto promoter = DataReadyPromoter( *m_slot, m_cause, m_trace );
217 result = promoter.visit( node );
218 } else {
219 result = true;
220 }
221
222 // return true only when an algorithm is not lower than DR in its FSM
223 // i.e., the visitor has done everything it could with this algorithm
224 return result;
225 }
226
227 //--------------------------------------------------------------------------
228 bool RankerByProductConsumption::visit( AlgorithmNode& node )
229 {
230
231 auto& products = node.getOutputDataNodes();
232 float rank = 0;
233
234 for ( auto p : products ) rank += p->getConsumers().size();
235
236 node.setRank( rank );
237 /*std::stringstream s;
238 s << node.getNodeName() << ", " << rank << "\n";
239 std::ofstream myfile;
240 myfile.open("AlgoRank.csv", std::ios::app);
241 myfile << s.str();
242 myfile.close();*/
243
244 return true;
245 }
246
247 //--------------------------------------------------------------------------
248 bool RankerByCummulativeOutDegree::visit( AlgorithmNode& node )
249 {
250
251 std::ifstream myfile;
252 myfile.open( "InputExecutionPlan.graphml", std::ios::in );
253
254 precedence::PrecTrace execPlan;
255
256 using precedence::AlgoTraceProps;
257 using boost::get;
258
259 boost::dynamic_properties dp;
260 dp.property( "name", get( &AlgoTraceProps::m_name, execPlan ) );
261 dp.property( "index", get( &AlgoTraceProps::m_index, execPlan ) );
262 dp.property( "dataRank", get( &AlgoTraceProps::m_rank, execPlan ) );
263 dp.property( "runtime", get( &AlgoTraceProps::m_runtime, execPlan ) );
264
265 boost::read_graphml( myfile, execPlan, dp );
266
267 typedef boost::graph_traits<precedence::PrecTrace>::vertex_iterator itV;
268 std::pair<itV, itV> vp;
269
270 for ( vp = boost::vertices( execPlan ); vp.first != vp.second; ++vp.first ) {
271 precedence::AlgoTraceVertex v = *vp.first;
272 auto index = get( &AlgoTraceProps::m_name, execPlan );
273 if ( index[v] == node.getNodeName() ) {
274 runThroughAdjacents( v, execPlan );
275 float rank = m_nodesSucceeded;
276 node.setRank( rank );
277 reset();
278 // std::cout << "Rank of " << index[v] << " is " << rank << std::endl;
279 }
280 }
281
282 return true;
283 }
284
285 //--------------------------------------------------------------------------
286 void RankerByCummulativeOutDegree::runThroughAdjacents(
287 boost::graph_traits<precedence::PrecTrace>::vertex_descriptor vertex, precedence::PrecTrace graph )
288 {
289 typename boost::graph_traits<precedence::PrecTrace>::adjacency_iterator itVB;
290 typename boost::graph_traits<precedence::PrecTrace>::adjacency_iterator itVE;
291
292 for ( boost::tie( itVB, itVE ) = adjacent_vertices( vertex, graph ); itVB != itVE; ++itVB ) {
293 m_nodesSucceeded += 1;
294 runThroughAdjacents( *itVB, graph );
295 }
296 }
297
298 //--------------------------------------------------------------------------
299 bool RankerByTiming::visit( AlgorithmNode& node )
300 {
301
302 std::ifstream myfile;
303 myfile.open( "InputExecutionPlan.graphml", std::ios::in );
304
305 precedence::PrecTrace execPlan;
306 using precedence::AlgoTraceProps;
307 using boost::get;
308
309 boost::dynamic_properties dp;
310 dp.property( "name", get( &AlgoTraceProps::m_name, execPlan ) );
311 dp.property( "index", get( &AlgoTraceProps::m_index, execPlan ) );
312 dp.property( "dataRank", get( &AlgoTraceProps::m_rank, execPlan ) );
313 dp.property( "runtime", get( &AlgoTraceProps::m_runtime, execPlan ) );
314
315 boost::read_graphml( myfile, execPlan, dp );
316
317 typedef boost::graph_traits<precedence::PrecTrace>::vertex_iterator itV;
318 std::pair<itV, itV> vp;
319
320 for ( vp = boost::vertices( execPlan ); vp.first != vp.second; ++vp.first ) {
321 precedence::AlgoTraceVertex v = *vp.first;
322 auto index = get( &AlgoTraceProps::m_name, execPlan );
323 if ( index[v] == node.getNodeName() ) {
324 auto index_runtime = get( &AlgoTraceProps::m_runtime, execPlan );
325 float rank = index_runtime[v];
326 node.setRank( rank );
327 // std::cout << "Rank of " << index[v] << " is " << rank << std::endl;
328 }
329 }
330 return true;
331 }
332
333 //--------------------------------------------------------------------------
334 bool RankerByEccentricity::visit( AlgorithmNode& node )
335 {
336
337 std::ifstream myfile;
338 myfile.open( "Eccentricity.graphml", std::ios::in );
339
340 precedence::PrecTrace execPlan;
341
342 boost::dynamic_properties dp;
343 using boost::get;
344
345 dp.property( "name", get( &precedence::AlgoTraceProps::m_name, execPlan ) );
346 dp.property( "Eccentricity", get( &precedence::AlgoTraceProps::m_eccentricity, execPlan ) );
347
348 boost::read_graphml( myfile, execPlan, dp );
349
350 typedef boost::graph_traits<precedence::PrecTrace>::vertex_iterator itV;
351 std::pair<itV, itV> vp;
352
353 for ( vp = boost::vertices( execPlan ); vp.first != vp.second; ++vp.first ) {
354 precedence::AlgoTraceVertex v = *vp.first;
355 auto index = get( &precedence::AlgoTraceProps::m_name, execPlan );
356 if ( index[v] == node.getNodeName() ) {
357 auto index_eccentricity = get( &precedence::AlgoTraceProps::m_eccentricity, execPlan );
358 float rank = index_eccentricity[v];
359 node.setRank( rank );
360 // std::cout << "Rank of " << index[v] << " is " << rank << std::endl;
361 }
362 }
363 return true;
364 }
365
366 //--------------------------------------------------------------------------
367 bool RankerByDataRealmEccentricity::visit( AlgorithmNode& node )
368 {
369
370 // Find eccentricity of the node (only within the data realm of the execution flow graph)
371 recursiveVisit( node );
372
373 float rank = m_maxKnownDepth;
374 node.setRank( rank );
375
376 // Reset visitor for next nodes, if any
377 reset();
378
379 return true;
380 }
381
382 //--------------------------------------------------------------------------
383 void RankerByDataRealmEccentricity::recursiveVisit( AlgorithmNode& node )
384 {
385
386 m_currentDepth += 1;
387
388 auto& products = node.getOutputDataNodes();
389
390 if ( products.empty() )
391 if ( ( m_currentDepth - 1 ) > m_maxKnownDepth ) m_maxKnownDepth = m_currentDepth - 1;
392
393 for ( auto p : products )
394 for ( auto algoNode : p->getConsumers() ) recursiveVisit( *algoNode );
395
396 m_currentDepth -= 1;
397 }
398
399 //---------------------------------------------------------------------------
400 bool RunSimulator::visitEnter( DecisionNode& node ) const
401 {
402
403 if ( m_slot->controlFlowState[node.getNodeIndex()] != 1 ) return true;
404 return false;
405 }
406
407 //---------------------------------------------------------------------------
408 bool RunSimulator::visit( DecisionNode& node )
409 {
410
411 // std::cout << "1-st level Decision: " << node.getNodeName() << std::endl;
412 bool allChildDecisionsResolved = true;
413 for ( auto child : node.getDaughters() ) {
414 int& childDecision = m_slot->controlFlowState[child->getNodeIndex()];
415
416 if ( childDecision == 1 && node.m_modeOR && node.m_modePromptDecision ) {
417 m_slot->controlFlowState[node.getNodeIndex()] = 1;
418 return true;
419 }
420
421 if ( childDecision == -1 ) {
422 allChildDecisionsResolved = false;
423 }
424 }
425
426 if ( allChildDecisionsResolved ) m_slot->controlFlowState[node.getNodeIndex()] = 1;
427
428 return allChildDecisionsResolved;
429 }
430
431 //---------------------------------------------------------------------------
432 bool RunSimulator::visitEnter( AlgorithmNode& node ) const
433 {
434
435 if ( m_slot->controlFlowState[node.getNodeIndex()] != 1 ) return true;
436 return false;
437 }
438
439 //--------------------------------------------------------------------------
440 bool RunSimulator::visit( AlgorithmNode& node )
441 {
442
443 auto& states = m_slot->algsStates;
444 int& decision = m_slot->controlFlowState[node.getNodeIndex()];
445
446 auto dataPromoter = DataReadyPromoter( *m_slot, m_cause );
447
448 if ( State::INITIAL == states[node.getAlgoIndex()] ) {
449 states.updateState( node.getAlgoIndex(), State::CONTROLREADY );
450 if ( dataPromoter.visit( node ) ) {
451 states.updateState( node.getAlgoIndex(), State::SCHEDULED );
452 states.updateState( node.getAlgoIndex(), State::EVTACCEPTED );
453 decision = 1;
454 ++m_nodesSucceeded;
455 // std::cout << "Algorithm decided: " << node.getNodeName() << std::endl;
456 return true;
457 }
458 } else if ( State::CONTROLREADY == states[node.getAlgoIndex()] && dataPromoter.visit( node ) ) {
459 states.updateState( node.getAlgoIndex(), State::SCHEDULED );
460 states.updateState( node.getAlgoIndex(), State::EVTACCEPTED );
461 decision = 1;
462 ++m_nodesSucceeded;
463 // std::cout << "Algorithm decided: " << node.getNodeName() << std::endl;
464 return true;
465 }
466
467 return false;
468 }
469 }
concurrency::AlgorithmNode::getAlgoIndex
const unsigned int & getAlgoIndex() const
Get algorithm index.
Definition: PrecedenceRulesGraph.h:455
Cause::source::Task
PRGraphVisitors.h
concurrency::DecisionNode
Definition: PrecedenceRulesGraph.h:364
std::ifstream::open
T open(T...args)
concurrency::DataReadyPromoter::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:22
precedence::AlgoTraceVertex
boost::graph_traits< PrecTrace >::vertex_descriptor AlgoTraceVertex
Definition: PrecedenceRulesGraph.h:44
compareRootHistos.state
state
Definition: compareRootHistos.py:422
concurrency::DataNode
Definition: PrecedenceRulesGraph.h:498
precedence::AlgoTraceProps::m_eccentricity
int m_eccentricity
Definition: PrecedenceRulesGraph.h:40
concurrency::AlgorithmNode::getInputDataNodes
const std::vector< DataNode * > & getInputDataNodes() const
Get all consumer nodes.
Definition: PrecedenceRulesGraph.h:445
gaudirun.output
output
Definition: gaudirun.py:404
concurrency::AlgorithmNode::isOptimist
bool isOptimist() const
Check if positive control flow decision is enforced.
Definition: PrecedenceRulesGraph.h:463
concurrency
Definition: ControlFlowGraph.cpp:4
EventSlot::algsStates
AlgsExecutionStates algsStates
Vector of algorithms states.
Definition: EventSlot.h:37
EventSlot::eventContext
EventContext * eventContext
Cache for the eventContext.
Definition: EventSlot.h:32
concurrency::AlgorithmNode::setRank
void setRank(float &rank)
Set Algorithm rank.
Definition: PrecedenceRulesGraph.h:448
concurrency::DataReadyPromoter::m_slot
EventSlot * m_slot
Definition: PRGraphVisitors.h:33
concurrency::RankerByProductConsumption::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:228
concurrency::RankerByDataRealmEccentricity::recursiveVisit
void recursiveVisit(AlgorithmNode &)
Depth-first node parser to calculate node eccentricity (only within the data realm of the precedence ...
Definition: PRGraphVisitors.cpp:383
concurrency::AlgorithmNode::getOutputDataNodes
const std::vector< DataNode * > & getOutputDataNodes() const
Get all supplier nodes.
Definition: PrecedenceRulesGraph.h:443
precedence::AlgoTraceProps
Definition: PrecedenceRulesGraph.h:30
Cause::m_source
source m_source
Definition: PrecedenceRulesGraph.h:316
concurrency::PrecedenceRulesGraph::getAlgorithmNode
AlgorithmNode * getAlgorithmNode(const std::string &algoName) const
Get the AlgorithmNode from by algorithm name using graph index.
Definition: PrecedenceRulesGraph.cpp:303
concurrency::DecisionNode::m_allPass
bool m_allPass
Whether always passing regardless of daughter results.
Definition: PrecedenceRulesGraph.h:403
concurrency::AlgorithmNode::getParentDecisionHubs
const std::vector< DecisionNode * > & getParentDecisionHubs() const
Get all parent decision hubs.
Definition: PrecedenceRulesGraph.h:436
concurrency::RunSimulator::visit
bool visit(DecisionNode &) override
Definition: PRGraphVisitors.cpp:408
concurrency::DataReadyPromoter::visitEnter
bool visitEnter(AlgorithmNode &) const override
Definition: PRGraphVisitors.cpp:13
concurrency::DecisionUpdater::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:100
concurrency::Supervisor::visitEnter
bool visitEnter(DecisionNode &) const override
Definition: PRGraphVisitors.cpp:132
concurrency::DecisionNode::m_modeOR
bool m_modeOR
Whether acting as "and" (false) or "or" node (true)
Definition: PrecedenceRulesGraph.h:401
concurrency::RankerByTiming::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:299
concurrency::ControlFlowNode::m_graph
PrecedenceRulesGraph * m_graph
Definition: PrecedenceRulesGraph.h:355
concurrency::RunSimulator::visitEnter
bool visitEnter(DecisionNode &) const override
Definition: PRGraphVisitors.cpp:400
EventSlot::controlFlowState
std::vector< int > controlFlowState
State of the control flow.
Definition: EventSlot.h:43
concurrency::DataReadyPromoter::DataReadyPromoter
DataReadyPromoter(EventSlot &slot, const Cause &cause, bool ifTrace=false)
Constructor.
Definition: PRGraphVisitors.h:15
concurrency::DataNode::getPath
const DataObjID & getPath()
Definition: PrecedenceRulesGraph.h:504
concurrency::DecisionNode::getDaughters
const std::vector< ControlFlowNode * > & getDaughters() const
Get children nodes.
Definition: PrecedenceRulesGraph.h:389
concurrency::RankerByEccentricity::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:334
concurrency::RankerByCummulativeOutDegree::runThroughAdjacents
void runThroughAdjacents(boost::graph_traits< precedence::PrecTrace >::vertex_descriptor, precedence::PrecTrace)
Definition: PRGraphVisitors.cpp:286
precedence::PrecTrace
boost::adjacency_list< boost::vecS, boost::vecS, boost::bidirectionalS, AlgoTraceProps > PrecTrace
Definition: PrecedenceRulesGraph.h:43
ICondSvc::isValidID
virtual bool isValidID(const EventContext &ctx, const DataObjID &id) const =0
check to see if a specific condition object ID is valid for this event
concurrency::IGraphVisitor::reset
virtual void reset()
Definition: IGraphVisitor.h:29
concurrency::DataReadyPromoter::m_trace
bool m_trace
Definition: PRGraphVisitors.h:35
concurrency::DecisionNode::m_modePromptDecision
bool m_modePromptDecision
Whether to evaluate the hub decision ASA its child decisions allow to do that.
Definition: PrecedenceRulesGraph.h:399
concurrency::DataReadyPromoter::m_cause
Cause m_cause
Definition: PRGraphVisitors.h:34
DataObjID.h
std::pair
concurrency::PrecedenceRulesGraph::addEdgeToPrecTrace
void addEdgeToPrecTrace(const AlgorithmNode *u, const AlgorithmNode *v)
set cause-effect connection between two algorithms in the precedence trace
Definition: PrecedenceRulesGraph.cpp:650
plotSpeedupsPyRoot.graph
graph
Definition: plotSpeedupsPyRoot.py:142
concurrency::Supervisor::visit
bool visit(DecisionNode &) override
Definition: PRGraphVisitors.cpp:140
GaudiPython.Persistency.get
def get(type_)
Definition: Persistency.py:29
concurrency::ConditionNode
Definition: PrecedenceRulesGraph.h:538
precedence::AlgoTraceProps::m_name
std::string m_name
Definition: PrecedenceRulesGraph.h:36
concurrency::AlgorithmNode
Definition: PrecedenceRulesGraph.h:413
concurrency::RankerByCummulativeOutDegree::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:248
concurrency::AlgorithmNode::isLiar
bool isLiar() const
Check if control flow logic is always inverted.
Definition: PrecedenceRulesGraph.h:465
concurrency::RankerByDataRealmEccentricity::visit
bool visit(AlgorithmNode &) override
Definition: PRGraphVisitors.cpp:367
concurrency::ControlFlowNode::getNodeName
const std::string & getNodeName() const
Get node name.
Definition: PrecedenceRulesGraph.h:352
concurrency::Supervisor
Definition: PRGraphVisitors.h:54
concurrency::ControlFlowNode::getNodeIndex
const unsigned int & getNodeIndex() const
Get node index.
Definition: PrecedenceRulesGraph.h:350
AlgsExecutionStates.h
AlgsExecutionStates::State
State
Execution states of the algorithms.
Definition: AlgsExecutionStates.h:32
ICondSvc.h
std::ifstream
STL class.
Cause::m_sourceName
std::string m_sourceName
Definition: PrecedenceRulesGraph.h:317
concurrency::DataNode::getProducers
const std::vector< AlgorithmNode * > & getProducers() const
Get all data object producers.
Definition: PrecedenceRulesGraph.h:525
concurrency::ConditionNode::m_condSvc
SmartIF< ICondSvc > m_condSvc
Definition: PrecedenceRulesGraph.h:558
concurrency::State
AlgsExecutionStates::State State
Definition: PrecedenceRulesGraph.h:323
AlgsExecutionStates::updateState
StatusCode updateState(unsigned int iAlgo, State newState)
Definition: AlgsExecutionStates.cpp:8