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Test_problem.cpp
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Test_problem.cpp
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//============================================================================
// Name : Test_problem.cpp
// Author : Fedorenkov Eduard
// Description : Heads x Improve test problem in C++
//============================================================================
#include "test_runner.h"
#include <iostream>
#include <algorithm>
#include <vector>
#include <set>
#include <random>
#include <ctime>
using namespace std;
template<typename T, typename Distr, typename RandGen>
vector<T> VectorRandomFilling(size_t n, Distr& distribution, RandGen& random_gen, bool IsUniq){
vector<T> result;
result.reserve(n);
if(IsUniq){ // Unique filling of the vector
set<T> uniq_set;
while(uniq_set.size() != n){ // Checking if set of sizes is enough
T random_element = distribution(random_gen);
if(uniq_set.insert(random_element).second == true){ // Checking if new size is unique
result.push_back(random_element);
}
}
}else{ // Not unique filling of the vector
for(size_t i = 0; i < n; ++i){
result.push_back(distribution(random_gen));
}
}
return result;
}
template<typename T, typename Distr>
vector<vector<T>> GetSortedVectors(size_t n, const T& min_rand_num, const T& max_rand_num,
const size_t& min_rand_size, const size_t& max_rand_size){
if(max_rand_size - min_rand_size + 1 < n){ // Checking the validity of parameters "min_rand_size" and "max_rand_size"
throw invalid_argument("The range of vector sizes is not large enough for the consciousness of vectors of unique sizes");
}
vector<vector<T>> result;
mt19937 random_gen(time(0));
Distr distribution_for_numbers(min_rand_num, max_rand_num);
uniform_int_distribution<size_t> distribution_for_sizes(min_rand_size, max_rand_size);
vector<size_t> sizes = VectorRandomFilling<size_t>(n, distribution_for_sizes, random_gen, true); // true -> unique filling of the sizes vector
bool flag = true; /* flag for sort
* true -> Ascending sort
* false -> Descending sort
*/
for(size_t size : sizes){
vector<T> tmp = VectorRandomFilling<T>(size, distribution_for_numbers, random_gen, false);// false -> not unique filling of the numbers vector
if(flag){
sort(begin(tmp),end(tmp));
flag = false;
}else{
sort(rbegin(tmp),rend(tmp));
flag = true;
}
result.push_back(tmp);
}
return result;
}
template<typename T>
ostream& operator<< (ostream& out, const vector<vector<T>>& x){
for(auto& vec : x){
for(auto& num : vec){
out << num << ' ';
}
cout << "\n";
}
return out;
}
void TsetVectorUniqRandomFilling(){
mt19937 random_gen(time(0));
uniform_int_distribution<int> distribution(-5,4);
vector<int> vec = VectorRandomFilling<int>(10, distribution, random_gen, true);
set<int> vec_copy(begin(vec), end(vec));
ASSERT_EQUAL(vec.size(), vec_copy.size());
}
void TestIsSorted(){
size_t vectors_number = 4;
int min_number = -5;
int max_number = 4;
size_t min_vector_size = 5;
size_t max_vector_size = 15;
vector<vector<int>> vec = GetSortedVectors<int, uniform_int_distribution<int>>
(vectors_number,min_number,max_number,min_vector_size,max_vector_size);
ASSERT(is_sorted(vec[0].begin(), vec[0].end()));
ASSERT(is_sorted(vec[2].begin(), vec[2].end()));
ASSERT(is_sorted(vec[1].begin(), vec[1].end(), [](int lhs, int rhs){return lhs > rhs;}));
ASSERT(is_sorted(vec[3].begin(), vec[3].end(), [](int lhs, int rhs){return lhs > rhs;}));
}
int main() {
TestRunner tr;
RUN_TEST(tr, TsetVectorUniqRandomFilling);
RUN_TEST(tr, TestIsSorted);
try{
size_t vectors_number = 10;
int min_number = 0;
int max_number = 100;
size_t min_vector_size = 1;
size_t max_vector_size = 10;
// GetSortedVectors<"type of numbers", "distribution for numbers">(arguments)
auto vv = GetSortedVectors<size_t, uniform_int_distribution<size_t>>
(vectors_number,min_number,max_number,min_vector_size,max_vector_size);
cout << vv;
}catch(invalid_argument& ia){
cerr << "Invalid argument : " << ia.what() << "\n";
}
return 0;
}