Given two integers X and Y, whats the most efficient way of converting them into X.Y float value in C++?
E.g.
X = 3, Y = 1415 -> 3.1415
X = 2, Y = 12 -> 2.12
Given two integers X and Y, whats the most efficient way of converting them into X.Y float value in C++?
E.g.
X = 3, Y = 1415 -> 3.1415
X = 2, Y = 12 -> 2.12
Here are some cocktail-napkin benchmark results, on my machine, for all solutions converting two int
s to a float
, as of the time of writing.
Caveat: I've now added a solution of my own, which seems to do well, and am therefore biased! Please double-check my results.
Test Iterations ns / iteration
--------------------------------------------------------------
@aliberro's conversion v2 79,113,375 13
@3Dave's conversion 84,091,005 12
@einpoklum's conversion 1,966,008,981 0
@Ripi2's conversion 47,374,058 21
@TarekDakhran's conversion 1,960,763,847 0
-O3 -march=native -mtune=native
Benchmark code (Github Gist).
float sum = x + y / pow(10,floor(log10(y)+1));
log10
returns log (base 10) of its argument. For 1234, that'll be 3 point something.
Breaking this down:
log10(1234) = 3.091315159697223
floor(log10(1234)+1) = 4
pow(10,4) = 10000.0
3 + 1234 / 10000.0 = 3.1234.
But, as @einpoklum pointed out, log(0)
is NaN
, so you have to check for that.
#include <iostream>
#include <cmath>
#include <vector>
using namespace std;
float foo(int x, unsigned int y)
{
if (0==y)
return x;
float den = pow(10,-1 * floor(log10(y)+1));
return x + y * den;
}
int main()
{
vector<vector<int>> tests
{
{3,1234},
{1,1000},
{2,12},
{0,0},
{9,1}
};
for(auto& test: tests)
{
cout << "Test: " << test[0] << "," << test[1] << ": " << foo(test[0],test[1]) << endl;
}
return 0;
}
See runnable version at: https://onlinegdb.com/rkaYiDcPI
With test output:
Test: 3,1234: 3.1234
Test: 1,1000: 1.1
Test: 2,12: 2.12
Test: 0,0: 0
Test: 9,1: 9.1
Edit
Small modification to remove division operation.
(reworked solution)
Initially, my thoughts were improving on the performance of power-of-10 and division-by-power-of-10 by writing specialized versions of these functions, for integers. Then there was @TarekDakhran's comment about doing the same for counting the number of digits. And then I realized: That's essentially doing the same thing twice... so let's just integrate everything. This will, specifically, allow us to completely avoid any divisions or inversions at runtime:
inline float convert(int x, int y) {
float fy (y);
if (y == 0) { return float(x); }
if (y >= 1e9) { return float(x + fy * 1e-10f); }
if (y >= 1e8) { return float(x + fy * 1e-9f); }
if (y >= 1e7) { return float(x + fy * 1e-8f); }
if (y >= 1e6) { return float(x + fy * 1e-7f); }
if (y >= 1e5) { return float(x + fy * 1e-6f); }
if (y >= 1e4) { return float(x + fy * 1e-5f); }
if (y >= 1e3) { return float(x + fy * 1e-4f); }
if (y >= 1e2) { return float(x + fy * 1e-3f); }
if (y >= 1e1) { return float(x + fy * 1e-2f); }
return float(x + fy * 1e-1f);
}
Additional notes:
y == 0
; but - not for negative x or y values. Adapting it for negative value is pretty easy and not very expensive though.I put some effort into optimizing my previous answer and ended up with this.
inline uint32_t digits_10(uint32_t x) {
return 1u
+ (x >= 10u)
+ (x >= 100u)
+ (x >= 1000u)
+ (x >= 10000u)
+ (x >= 100000u)
+ (x >= 1000000u)
+ (x >= 10000000u)
+ (x >= 100000000u)
+ (x >= 1000000000u)
;
}
inline uint64_t pow_10(uint32_t exp) {
uint64_t res = 1;
while(exp--) {
res *= 10u;
}
return res;
}
inline double fast_zip(uint32_t x, uint32_t y) {
return x + static_cast<double>(y) / pow_10(digits_10(y));
}
double IntsToDbl(int ipart, int decpart)
{
//The decimal part:
double dp = (double) decpart;
while (dp > 1)
{
dp /= 10;
}
//Joint boths parts
return ipart + dp;
}
Simple and very fast solution is converting both values x
and y
to string, then concatenate them, then casting the result into a floating number as following:
#include <string>
#include <iostream>
std::string x_string = std::to_string(x);
std::string y_string = std::to_string(y);
std::cout << x_string +"."+ y_string ; // the result, cast it to float if needed
(Answer based on the fact that OP has not indicated what they want to use the float
for.)
The fastest (most efficient) way is to do it implicitly, but not actually do anything (after compiler optimizations).
That is, write a "pseudo-float" class, whose members are integers of x and y's types before and after the decimal point; and have operators for doing whatever it is you were going to do with the float: operator+, operator*, operator/, operator- and maybe even implementations of pow(), log2(), log10() and so on.
Unless what you were planning to do is literally save a 4-byte float somewhere for later use, it would almost certainly be faster if you had the next operand you need to work with then to really create a float from just x and y, already losing precision and wasting time.
Try this
#include <iostream>
#include <math.h>
using namespace std;
float int2Float(int integer,int decimal)
{
float sign = integer/abs(integer);
float tm = abs(integer), tm2 = abs(decimal);
int base = decimal == 0 ? -1 : log10(decimal);
tm2/=pow(10,base+1);
return (tm+tm2)*sign;
}
int main()
{
int x,y;
cin >>x >>y;
cout << int2Float(x,y);
return 0;
}
version 2, try this out
#include <iostream>
#include <cmath>
using namespace std;
float getPlaces(int x)
{
unsigned char p=0;
while(x!=0)
{
x/=10;
p++;
}
float pow10[] = {1.0f,10.0f,100.0f,1000.0f,10000.0f,100000.0f};//don't need more
return pow10[p];
}
float int2Float(int x,int y)
{
if(y == 0) return x;
float sign = x != 0 ? x/abs(x) : 1;
float tm = abs(x), tm2 = abs(y);
tm2/=getPlaces(y);
return (tm+tm2)*sign;
}
int main()
{
int x,y;
cin >>x >>y;
cout << int2Float(x,y);
return 0;
}
If you want something that is simple to read and follow, you could try something like this:
float convertToDecimal(int x)
{
float y = (float) x;
while( y > 1 ){
y = y / 10;
}
return y;
}
float convertToDecimal(int x, int y)
{
return (float) x + convertToDecimal(y);
}
This simply reduces one integer to the first floating point less than 1 and adds it to the other one.
This does become a problem if you ever want to use a number like 1.0012 to be represented as 2 integers. But that isn't part of the question. To solve it, I would use a third integer representation to be the negative power of 10 for multiplying the second number. IE 1.0012 would be 1, 12, 4. This would then be coded as follows:
float convertToDecimal(int num, int e)
{
return ((float) num) / pow(10, e);
}
float convertToDecimal(int x, int y, int e)
{
return = (float) x + convertToDecimal(y, e);
}
It a little more concise with this answer, but it doesn't help to answer your question. It might help show a problem with using only 2 integers if you stick with that data model.