I have a list consisting of car brands ID's and associated car models, e.g.:
1 Corolla
1 Yaris 1 Matrix 2 Cherokee 2 Liberty 3 CR-V 3 CR-Z 3 Element 3 Civic 3 Pilotwhere 1=Toyota, 2=Jeep, and 3=Honda. Note that the cardinality of car models per car brand differs.
I would like to retrieve random car models per car-brand. The number of cars to be retrieved per car brand depends upon the total number of associated models and an input float parameter: 'nPercentage'. (The 'nPercentage' parameter is the same for all different car-brands). For example, if nPercentage=0.5, a possible random output would be:
1 Corolla
1 Matrix 2 Liberty 3 CR-Z 3 Civic 3 PilotI'm currently working with a multimap class, since the keys can be duplicated. So far, I'm able to find non-duplicate开发者_开发问答d keys and count the number of associated elements. Could anyone shed some light on how to retrieve the random car models per car-brand? Below, the code that I have so far.
//The variable 'm_mapDatasetMapping' is of type: multimap<int, string>
multimap< int, string >::size_type countPerKey;
const int *pLastKey = NULL;
multimap<int,string>::const_iterator it=m_mapDatasetMapping.begin();
// looking for non-duplicated keys.
for( ; it!=m_mapDatasetMapping.end(); it++){
if( (pLastKey!=NULL) && (*pLastKey==it->first) ){
continue;
}
pLastKey = &(it->first);
// count the number of values associated to the given key.
countPerKey = m_mapDatasetMapping.count(*pLastKey);
/* Select 'x' random elements associated with the key '*pLastKey'.
The number of random elements to be extracted
is a percentage of the total number of values per key, i.e.:
x = nPercentage * countPerKey
*/
...
}
Perhaps the simplest approach to follow would be to copy all values for the given key out into a new container, say, a vector
, random_shuffle
it, and resize()
it to reduce its size to x:
int x = nPercentage * countPerKey;
auto range = m_mapDatasetMapping.equal_range(*pLastKey);
std::vector<std::string> values;
for(auto i = range.first; i != range.second; ++i)
values.push_back(i->second);
std::random_shuffle(values.begin(), values.end());
values.resize(x);
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