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Find the Running Median.cpp
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110 lines (83 loc) · 2.31 KB
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#include <bits/stdc++.h>
using namespace std;
string ltrim(const string &);
string rtrim(const string &);
/*
* Complete the 'runningMedian' function below.
*
* The function is expected to return a DOUBLE_ARRAY.
* The function accepts INTEGER_ARRAY a as parameter.
*/
vector<double> runningMedian(vector<int> a) {
vector<double> d;
priority_queue <int> maxHeap;
priority_queue <int> minHeap;
int l = a.size(),n=0;
for(int i=0;i<l;++i){
n = a[i];
if (maxHeap.empty())maxHeap.push(n);
else if(maxHeap.size() == minHeap.size()){
if(n < minHeap.top())maxHeap.push(n);
else{
minHeap.push(n);
maxHeap.push(minHeap.top());
minHeap.pop();
}
}
else if(maxHeap.size() > minHeap.size()){
if(n > maxHeap.top())minHeap.push(n);
else{
maxHeap.push(n);
minHeap.push(maxHeap.top());
maxHeap.pop();
}
}
if (maxHeap.empty())d.push_back(0);
else if(maxHeap.size() == minHeap.size()) {
d.push_back( (maxHeap.top() + minHeap.top()) / 2.0);
} else { // maxHeap must have more elements than minHeap
d.push_back(maxHeap.top());
}
}
return d;
}
int main()
{
ofstream fout(getenv("OUTPUT_PATH"));
string a_count_temp;
getline(cin, a_count_temp);
int a_count = stoi(ltrim(rtrim(a_count_temp)));
vector<int> a(a_count);
for (int i = 0; i < a_count; i++) {
string a_item_temp;
getline(cin, a_item_temp);
int a_item = stoi(ltrim(rtrim(a_item_temp)));
a[i] = a_item;
}
vector<double> result = runningMedian(a);
for (size_t i = 0; i < result.size(); i++) {
fout << result[i];
if (i != result.size() - 1) {
fout << "\n";
}
}
fout << "\n";
fout.close();
return 0;
}
string ltrim(const string &str) {
string s(str);
s.erase(
s.begin(),
find_if(s.begin(), s.end(), not1(ptr_fun<int, int>(isspace)))
);
return s;
}
string rtrim(const string &str) {
string s(str);
s.erase(
find_if(s.rbegin(), s.rend(), not1(ptr_fun<int, int>(isspace))).base(),
s.end()
);
return s;
}