I see a few options here:
Method 1: temp transform
std::vector<T1> temp {};
temp.reserve(vec.size());
std::transform(vec2.begin(), vec2.end(), std::back_inserter(temp), op);
vec1.insert(vec1.begin() + pos, std::make_move_iterator(temp.begin()),
std::make_move_iterator(temp.end()));
But now the overhead is not a trivial capacity check, instead the additional costs is an allocation/deallocation of size_of(T1) * vec2.size()
for temp
. This could easily be a significant cost if vec2
is large.
Method 2: loop insert
vec1.reserve(vec1.size() + vec2.size());
std::size_t i {pos};
for (const auto& p : vec2) {
vec1.insert(vec1.begin() + i, op);
++i;
}
This avoids the additional allocation/deallocation of method 1 but there is another serious problem with this solution: each of the n = vec1.size() - pos
elements in vec1
have to be shifted n
times, a O(n^2)
operation.
Method 3: shift and copy
vec1.resize(vec1.size() + pair_vec.size());
std::move(vec1.begin() + pos, vec1.end(), vec1.begin() + pos + vec2.size());
std::transform(vec2.begin(), vec2.end(), vec1.begin() + pos, op);
This seems to be close to what we want, we only pay for an 'extra' n
default constructors.
EDIT
My shift and copy method (3) was incorrect, it should be:
auto v1_size = vec1.size();
vec1.resize(vec1.size() + vec2.size());
std::move(vec1.begin() + pos, vec1.begin() + v1_size, vec1.begin() + pos + vec2.size());
std::transform(vec2.begin(), vec2.end(), vec1.begin() + pos, op);
TESTS ( updated with @VaughnCato's and @ViktorSehr's methods)
I tested methods 1 & 3 (method 2 is clearly not going to perform well - easy to verify), along with the methods suggested by @VaughnCato and @ViktorSehr. Here is the full code:
#include <iostream>
#include <vector>
#include <iterator>
#include <algorithm>
#include <cstdint>
#include <chrono>
#include <numeric>
#include <random>
#include <boost/iterator/transform_iterator.hpp>
#include <boost/range/adaptor/transformed.hpp>
using std::size_t;
std::vector<int> generate_random_ints(size_t n)
{
std::default_random_engine generator;
auto seed1 = std::chrono::system_clock::now().time_since_epoch().count();
generator.seed((unsigned) seed1);
std::uniform_int_distribution<int> uniform {};
std::vector<int> v(n);
std::generate_n(v.begin(), n, [&] () { return uniform(generator); });
return v;
}
std::vector<std::string> generate_random_strings(size_t n)
{
std::default_random_engine generator;
auto seed1 = std::chrono::system_clock::now().time_since_epoch().count();
generator.seed((unsigned) seed1);
std::uniform_int_distribution<int> uniform {};
std::vector<std::string> v(n);
std::generate_n(v.begin(), n, [&] () { return std::to_string(uniform(generator)); });
return v;
}
template <typename D=std::chrono::nanoseconds, typename F>
D benchmark(F f, unsigned num_tests)
{
D total {0};
for (unsigned i = 0; i < num_tests; ++i) {
auto start = std::chrono::system_clock::now();
f();
auto end = std::chrono::system_clock::now();
total += std::chrono::duration_cast<D>(end - start);
}
return D {total / num_tests};
}
template <typename T1, typename T2, typename UnaryOperation>
void temp_transform(std::vector<T1> vec1, const std::vector<T2> &vec2, size_t pos, UnaryOperation op)
{
std::vector<T1> temp {};
temp.reserve(vec2.size());
std::transform(vec2.begin(), vec2.end(), std::back_inserter(temp), op);
vec1.insert(vec1.begin() + pos, std::make_move_iterator(temp.begin()),
std::make_move_iterator(temp.end()));
}
template <typename T1, typename T2, typename UnaryOperation>
void shift_copy(std::vector<T1> vec1, const std::vector<T2> &vec2, size_t pos, UnaryOperation op)
{
auto v1_size = vec1.size();
vec1.resize(vec1.size() + vec2.size());
std::move(vec1.begin() + pos, vec1.begin() + v1_size, vec1.begin() + pos + vec2.size());
std::transform(vec2.begin(), vec2.end(), vec1.begin() + pos, op);
}
template <typename T1, typename T2, typename UnaryOperation>
void boost_transform(std::vector<T1> vec1, const std::vector<T2> &vec2, size_t pos, UnaryOperation op)
{
auto v2_begin = boost::make_transform_iterator(vec2.begin(), op);
auto v2_end = boost::make_transform_iterator(vec2.end(), op);
vec1.insert(vec1.begin() + pos, v2_begin, v2_end);
}
template <typename T1, typename T2, typename UnaryOperation>
void boost_adapter(std::vector<T1> vec1, const std::vector<T2> &vec2, size_t pos, UnaryOperation op)
{
auto transformed_range = vec2 | boost::adaptors::transformed(op);
vec1.insert(vec1.begin() + pos, transformed_range.begin(), transformed_range.end());
}
int main(int argc, char **argv)
{
unsigned num_tests {1000};
size_t vec1_size {1000000};
size_t vec2_size {1000000};
size_t insert_pos {vec1_size / 2};
// Switch the variable names to inverse test
auto vec2 = generate_random_ints(vec1_size);
auto vec1 = generate_random_strings(vec2_size);
//auto op = [] (const std::string& str) { return std::stoi(str); };
auto op = [] (int i) { return std::to_string(i); };
auto f_temp_transform_insert = [&vec1, &vec2, &insert_pos, &op] () {
temp_transform(vec1, vec2, insert_pos, op);
};
auto f_shift_copy_insert = [&vec1, &vec2, &insert_pos, &op] () {
shift_copy(vec1, vec2, insert_pos, op);
};
auto f_boost_transform_insert = [&vec1, &vec2, &insert_pos, &op] () {
boost_transform(vec1, vec2, insert_pos, op);
};
auto f_boost_adapter_insert = [&vec1, &vec2, &insert_pos, &op] () {
boost_adapter(vec1, vec2, insert_pos, op);
};
auto temp_transform_insert_time = benchmark<std::chrono::milliseconds>(f_temp_transform_insert, num_tests).count();
auto shift_copy_insert_time = benchmark<std::chrono::milliseconds>(f_shift_copy_insert, num_tests).count();
auto boost_transform_insert_time = benchmark<std::chrono::milliseconds>(f_boost_transform_insert, num_tests).count();
auto boost_adapter_insert_time = benchmark<std::chrono::milliseconds>(f_boost_adapter_insert, num_tests).count();
std::cout << "temp_transform: " << temp_transform_insert_time << "ms" << std::endl;
std::cout << "shift_copy: " << shift_copy_insert_time << "ms" << std::endl;
std::cout << "boost_transform: " << boost_transform_insert_time << "ms" << std::endl;
std::cout << "boost_adapter: " << boost_adapter_insert_time << "ms" << std::endl;
return 0;
}
RESULTS
Compiled with:
g++ vector_insert.cpp -std=c++11 -O3 -o vector_insert_test
The mean user-runtimes are:
| Method | std::string -> int (ms) | int -> std::string (ms) |
|:-----------:|:-----------------------:|:-----------------------:|
| 1 | 68 | 220 |
| 3 | 67 | 222 |
| @VaughnCato | 71 | 239 |
| @ViktorSehr | 72 | 236 |
TLDR
- The
boost
methods are not as fast as the std::transform
methods.
- The
std::transform
methods are almost equally good - although there is a difficult to interpret discrepancy between int
-> std::string
and std::string
-> int
performance.