Dealing with vector of list of struct - c++

Question

I read text file as:
std::vector< std::list< struct> >
My data in the form:
1 0.933 0.9 2 0.865 0.6 3 0.919 0.2 4 0.726 0.5
3 0.854 0.6 5 0.906 0.2 6 0.726 0.5
1 0.906 0.2 2 0.726 0.5
1 0.933 0.2 2 0.865 0.5 4 0.919 0.1 5 0.726 0.5 6 0.933 0.9
Where each line consist of some integer numbers and each integer number has 2 real numbers,
for example:
in the first line, integer number 1 has to real number 0.933, and 0.9
This the code for scanning data:
struct Lines1 {
int Item;
float Prob;
float W;
};
std::istream& operator>>(std::istream &is, Lines1 &d)
{
return is >> d.Item >> d.Prob>> d.W;
}
float threshold;
std::map<int, float> FFISupp;
std::map <int, vector <int> > AssociatedItem;
std::vector<std::list<Lines1>> data;
void ScanData()
{
ifstream in;
in.open(dataFile);
std::string line;
int i = 0;
while (std::getline(in, line))
{
std::stringstream Sline1(line);
std::stringstream ss(line);
std::list<Lines1 > inner;
Lines1 info;
while (ss >> info)
{
inner.push_back(info);
}
data.push_back(inner);
}
}
Now I successfully stored the data in the text file, in the map data which is vector of list of strcut
BUT I didn't succeed in dealing with vector of list of strcut (data) to do the following:
1- create map namely FFISupp such that:
FFISupp (key = the 6 distinct integer number in the data struct, value = the summation of probabilities for each number)
For example:
since the integer number 1 presents in the data sets in three positions, the total probability for integer number 1 =0.933 + 0.906 + 0.933 = 2.772
==> The result of FFISupp
FFISupp (1, 2.772)
FFISupp (2, 2.456)
.
.
FFISupp (6,1.659)
2- create map namely AssociatedItem such that:
AssociatedItem (key = 6 distinct integer number, value = the associated items with this number)
associated items means, for example, the integer number 1 presents in the dataset with other integer number like (2,3,4,5,6)
AssociatedItem (1, (2,3,4,5,6))
AssociatedItem (2, (1,3,4,5,6))
AssociatedItem (3, (1,2,4,5,6))
AssociatedItem (4, (1,2,3,5,6))
AssociatedItem (5, (1,2,3,4,6))
AssociatedItem (6, (1,2,3,4,5))
3- delete all item that has the result of sum of its probabilities < threshold from FFISupp
and update both FFISupp and AssociatedItem
for example, if two items 3, and 6 have total probabilities < threshold, then, I will update FFISupp
FFISupp (1, 2.772)
FFISupp (2, 2.456)
FFISupp (4, 1.645)
FFISupp (5,1.632)
also update AssociatedItem
AssociatedItem (1, (2,4,5))
AssociatedItem (2, (1,4,5))
AssociatedItem (4, (1,2,5))
AssociatedItem (5, (1,2,4))
This my try:
void Pass()
{
for (unsigned i = 0; i < data.size() - 1; ++i)
{
for (unsigned k = 0; i < data[i].size() - 1; ++k)
{
for (unsigned l = k + 1; l < data[i].size(); ++l)
{
auto p1 = make_pair(data[i][k].Item, data[i][k].Prob);
FFISupp[p1.first] += p1.second;
AssociatedItem[data[i][k].Item].push_back(data[i][l].Item);
}
}
}
/*update the FFISupp, and AssociatedItem by erasing allitems with <= Min_Threshold*/
std::map<int, float> ::iterator current = FFISupp.begin();
std::map<int, vector <int>> ::iterator current2 = AssociatedItem.begin();
while (current != FFISupp.end())
{
if (current->second <= threshold)
{
current = FFISupp.erase(current);
while (current2 != AssociatedItem.end())
{
current2 = AssociatedItem.erase(current2);
++current2;
}
}
else
++current;
}
}

Answer 1

as i only understand what you meant in stage #1 - i'll help only it.
you code - as shown below should iterate over all the data vector elements - therefore the stop condition should be simply data.size().
Stating data.size() - 1 reminds me of C array... well. an std::vector is not an array, and by iterating until data.size() - 1 you lose the last item.
I don't understand what stage#2 and stage#3 goal are.