File: simulateJumps.cpp

package info (click to toggle)
fastml 3.11-4
  • links: PTS, VCS
  • area: main
  • in suites: forky, sid, trixie
  • size: 5,772 kB
  • sloc: cpp: 48,522; perl: 3,588; ansic: 819; makefile: 386; python: 83; sh: 55
file content (195 lines) | stat: -rw-r--r-- 7,295 bytes parent folder | download | duplicates (10)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
#include "simulateJumps.h"
#include "talRandom.h"
#include "someUtil.h"
#include <algorithm>


simulateJumps::simulateJumps(const tree& inTree, const stochasticProcess& sp, const int alphabetSize)
: simulateJumpsAbstract(inTree,sp,alphabetSize)	
{
}

simulateJumps::~simulateJumps()
{
}

void simulateJumps::init()
{
	
	//init the vector of waiting times. 
	_waitingTimeParams.clear();
	_waitingTimeParams.resize(_alphabetSize);

	int i, j;
	for (i = 0; i < _alphabetSize; ++i)
	{
		_waitingTimeParams[i] = -_sp.dPij_dt(i, i, 0.0);
		
	}

	//init _jumpProbs.
	//_jumpProbs[i][j] = Q[i][j] / -Q[i][i]
	_jumpProbs.clear();
	_jumpProbs.resize(_alphabetSize);
	for (i = 0; i < _alphabetSize; ++i)
	{
		MDOUBLE sum = 0.0;
		_jumpProbs[i].resize(_alphabetSize);
		for (j = 0; j < _alphabetSize; ++j)
		{
			if (i == j)
				_jumpProbs[i][j] = 0.0;
			else
			{
				_jumpProbs[i][j] = _sp.dPij_dt(i, j, 0.0) / _waitingTimeParams[i];
			}
			sum += _jumpProbs[i][j];
		}
		if (! DEQUAL(sum, 1.0)){
			string err = "error in simulateJumps::init(): sum probabilities is not 1 and equal to ";
			err+=double2string(sum);
			errorMsg::reportError(err);
		}
	}

	//init _orderNodesVec: a vector in which the branch lengths are ordered in ascending order
	_tree.getAllNodes(_orderNodesVec, _tree.getRoot());
	sort(_orderNodesVec.begin(), _orderNodesVec.end(), simulateJumpsAbstract::compareDist); 

	_nodes2JumpsExp.clear();
	_nodes2JumpsProb.clear();
	VVdouble zeroMatrix(getCombinedAlphabetSize());
	for (i = 0; i < getCombinedAlphabetSize(); ++i)
		zeroMatrix[i].resize(getCombinedAlphabetSize(), 0.0);
	Vdouble zeroVector(getCombinedAlphabetSize(),0.0);
	for (i = 0; i < _orderNodesVec.size(); ++i)
	{
		string nodeName = _orderNodesVec[i]->name();
		_nodes2JumpsExp[nodeName] = zeroMatrix;
		_nodes2JumpsProb[nodeName] = zeroMatrix;
		for (j=0; j<getCombinedAlphabetSize();++j)
			_totalTerminals[nodeName]=zeroVector;
	}
	
}


//simulate jumps starting from startState. The simulation continue until the maxTime is reached. In each step:
//1. Draw a new waiting time.
//2. Go over all branches shorter than nextJumpTime and update their jumpsNum between the states that were switched 
//	(these branches will not be affected by the current jump): 
//	however they might have been affected by the previous jump
//3. Draw a new state
void simulateJumps::runOneIter(int startState)
{
	MDOUBLE maxTime = _orderNodesVec[_orderNodesVec.size()-1]->dis2father();
	MDOUBLE totalTimeTillJump = 0.0;
	int jumpsNum = 0;
	int curState = startState;
	int smallestBranchNotUpdatedSofar = 0;
	vector<pair<int, int> > jumpsSoFar(0);
	while (totalTimeTillJump < maxTime)
	{
		MDOUBLE avgWaitingTime = 1 / _waitingTimeParams[curState];	
		MDOUBLE nextJumpTime = totalTimeTillJump + talRandom::rand_exp(avgWaitingTime);
		//go over all branches that "finished" their simulation (shorter than nextJumpTime) and update with their _nodes2JumpsExp 
		//with the jumps that occurred between the terminal Ids: startState-->curState
		for (int b = smallestBranchNotUpdatedSofar; b < _orderNodesVec.size(); ++b)
		{
			if (_orderNodesVec[b]->dis2father() > nextJumpTime)
			{
				smallestBranchNotUpdatedSofar = b;
				break;
			}
			string nodeName = _orderNodesVec[b]->name();
			//update all the jumps that occurred along the branch
			int terminalState = getCombinedState(startState, curState);
			_totalTerminals[nodeName][terminalState]++;
			//update all longer branches with all jumps that occurred till now
			vector<bool> jumpsSoFarBool(getCombinedAlphabetSize(),false);
			for (int j = 0; j < jumpsSoFar.size(); ++j)
			{
				int combinedJumpState = getCombinedState(jumpsSoFar[j].first, jumpsSoFar[j].second);
				jumpsSoFarBool[combinedJumpState]=true;
                _nodes2JumpsExp[nodeName][terminalState][combinedJumpState] += 1;
			}
			for (int combined=0;combined<jumpsSoFarBool.size();++combined)
			{
				if (jumpsSoFarBool[combined])
					_nodes2JumpsProb[nodeName][terminalState][combined]+=1;
			}
		}
		totalTimeTillJump = nextJumpTime;
		int nextState = giveRandomState(_alphabetSize,curState, _jumpProbs);
		jumpsSoFar.push_back(pair<int,int>(curState, nextState));
		curState = nextState;
		++jumpsNum;
	}
}


void simulateJumps::computeExpectationsAndPosterior(){
	//scale _nodes2JumpsExp so it will represent expectations
	map<string, VVdouble>::iterator iterExp = _nodes2JumpsExp.begin();
	for (; iterExp != _nodes2JumpsExp.end(); ++iterExp)
	{
		string nodeName = iterExp->first;
		for (int termState = 0; termState < getCombinedAlphabetSize(); ++termState)
		{
			for (int jumpState = 0; jumpState < getCombinedAlphabetSize(); ++jumpState)
			{

				//(iter->second[termState][jumpState]) /= static_cast<MDOUBLE>(iterNum);
				map<string, Vdouble>::iterator iterTerm = _totalTerminals.find(nodeName);
				map<string, VVdouble>::iterator iterProb = _nodes2JumpsProb.find(nodeName);
				if ((iterTerm==_totalTerminals.end()) || (iterProb==_nodes2JumpsProb.end()))
				{
					errorMsg::reportError("error in simulateJumps::runSimulation, unknown reason: cannot find nodeName in map");
				}
				if ((iterTerm->second[termState]==0)){ //never reached these terminal states
					if ((iterExp->second[termState][jumpState]==0) && (iterProb->second[termState][jumpState]==0)){
						if( termState == jumpState && (getStartId(termState)!=getEndId(termState) ) ){
							(iterExp->second[termState][jumpState]) = 1;	// E.g - given start=0 end=1 there was at least one 0->1 jump
							(iterProb->second[termState][jumpState]) = 1;	// E.g - given start=0 end=1 there was at least one 0->1 jump
						}
						continue;//leave the value of _nodes2JumpsExp and _nodes2JumpsProb as zero (or one)
					}
					else {
						errorMsg::reportError("error in simulateJumps::runSimulation, 0 times reached termState but non-zero for jumpCount");
					}
				}
				(iterExp->second[termState][jumpState]) /= iterTerm->second[termState];
				
				(iterProb->second[termState][jumpState]) /= iterTerm->second[termState];
				
			}
		}
	}
}


MDOUBLE simulateJumps::getExpectation(const string& nodeName, int terminalStart, int terminalEnd, int fromId, int toId)
{
	map <string, VVdouble>::iterator pos;
	if ((pos = _nodes2JumpsExp.find(nodeName)) == _nodes2JumpsExp.end())
	{
		string err="error in simulateJumps::getExpectation: cannot find node "+nodeName;
		errorMsg::reportError(err);
	}
	int combinedTerminalState = getCombinedState(terminalStart, terminalEnd);
	int combinedJumpState = getCombinedState(fromId, toId);
	return (pos->second[combinedTerminalState][combinedJumpState]);
}


MDOUBLE simulateJumps::getProb(const string& nodeName, int terminalStart, int terminalEnd, int fromId, int toId){
	map <string, VVdouble>::iterator pos;
	if ((pos = _nodes2JumpsProb.find(nodeName)) == _nodes2JumpsProb.end())
	{
		string err="error in simulateJumps::getProb: cannot find node "+nodeName;
		errorMsg::reportError(err);
	}
	int combinedTerminalState = getCombinedState(terminalStart, terminalEnd);
	int combinedJumpState = getCombinedState(fromId, toId);
	return (pos->second[combinedTerminalState][combinedJumpState]);
}