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How does one generate a random float between 0 and 1 in PHP?
I'm looking for the PHP's equivalent to Java's Math.random().
You may use the standard function: lcg_value().
Here's another function given on the rand() docs:
// auxiliary function
// returns random number with flat distribution from 0 to 1
function random_0_1()
{
return (float)rand() / (float)getrandmax();
}
Example from documentation :
function random_float ($min,$max) {
return ($min+lcg_value()*(abs($max-$min)));
}
rand(0,1000)/1000 returns:
0.348 0.716 0.251 0.459 0.893 0.867 0.058 0.955 0.644 0.246 0.292
or use a bigger number if you want more digits after decimal point
class SomeHelper
{
/**
* Generate random float number.
*
* #param float|int $min
* #param float|int $max
* #return float
*/
public static function rand($min = 0, $max = 1)
{
return ($min + ($max - $min) * (mt_rand() / mt_getrandmax()));
}
}
update:
forget this answer it doesnt work wit php -v > 5.3
What about
floatVal('0.'.rand(1, 9));
?
this works perfect for me, and it´s not only for 0 - 1 for example between 1.0 - 15.0
floatVal(rand(1, 15).'.'.rand(1, 9));
function mt_rand_float($min, $max, $countZero = '0') {
$countZero = +('1'.$countZero);
$min = floor($min*$countZero);
$max = floor($max*$countZero);
$rand = mt_rand($min, $max) / $countZero;
return $rand;
}
example:
echo mt_rand_float(0, 1);
result: 0.2
echo mt_rand_float(3.2, 3.23, '000');
result: 3.219
echo mt_rand_float(1, 5, '00');
result: 4.52
echo mt_rand_float(0.56789, 1, '00');
result: 0.69
$random_number = rand(1,10).".".rand(1,9);
function frand($min, $max, $decimals = 0) {
$scale = pow(10, $decimals);
return mt_rand($min * $scale, $max * $scale) / $scale;
}
echo "frand(0, 10, 2) = " . frand(0, 10, 2) . "\n";
This question asks for a value from 0 to 1. For most mathematical purposes this is usually invalid albeit to the smallest possible degree. The standard distribution by convention is 0 >= N < 1. You should consider if you really want something inclusive of 1.
Many things that do this absent minded have a one in a couple billion result of an anomalous result. This becomes obvious if you think about performing the operation backwards.
(int)(random_float() * 10) would return a value from 0 to 9 with an equal chance of each value. If in one in a billion times it can return 1 then very rarely it will return 10 instead.
Some people would fix this after the fact (to decide that 10 should be 9). Multiplying it by 2 should give around a ~50% chance of 0 or 1 but will also have a ~0.000000000465% chance of returning a 2 like in Bender's dream.
Saying 0 to 1 as a float might be a bit like mistakenly saying 0 to 10 instead of 0 to 9 as ints when you want ten values starting at zero. In this case because of the broad range of possible float values then it's more like accidentally saying 0 to 1000000000 instead of 0 to 999999999.
With 64bit it's exceedingly rare to overflow but in this case some random functions are 32bit internally so it's not no implausible for that one in two and a half billion chance to occur.
The standard solutions would instead want to be like this:
mt_rand() / (getrandmax() + 1)
There can also be small usually insignificant differences in distribution, for example between 0 to 9 then you might find 0 is slightly more likely than 9 due to precision but this will typically be in the billionth or so and is not as severe as the above issue because the above issue can produce an invalid unexpected out of bounds figure for a calculation that would otherwise be flawless.
Java's Math.random will also never produce a value of 1. Some of this comes from that it is a mouthful to explain specifically what it does. It returns a value from 0 to less than one. It's Zeno's arrow, it never reaches 1. This isn't something someone would conventionally say. Instead people tend to say between 0 and 1 or from 0 to 1 but those are false.
This is somewhat a source of amusement in bug reports. For example, any PHP code using lcg_value without consideration for this may glitch approximately one in a couple billion times if it holds true to its documentation but that makes it painfully difficult to faithfully reproduce.
This kind of off by one error is one of the common sources of "Just turn it off and on again." issues typically encountered in embedded devices.
Solution for PHP 7. Generates random number in [0,1). i.e. includes 0 and excludes 1.
function random_float() {
return random_int(0, 2**53-1) / (2**53);
}
Thanks to Nommyde in the comments for pointing out my bug.
>>> number_format((2**53-1)/2**53,100)
=> "0.9999999999999998889776975374843459576368331909179687500000000000000000000000000000000000000000000000"
>>> number_format((2**53)/(2**53+1),100)
=> "1.0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
Most answers are using mt_rand. However, mt_getrandmax() usually returns only 2147483647. That means you only have 31 bits of information, while a double has a mantissa with 52 bits, which means there is a density of at least 2^53 for the numbers between 0 and 1.
This more complicated approach will get you a finer distribution:
function rand_754_01() {
// Generate 64 random bits (8 bytes)
$entropy = openssl_random_pseudo_bytes(8);
// Create a string of 12 '0' bits and 52 '1' bits.
$x = 0x000FFFFFFFFFFFFF;
$first12 = pack("Q", $x);
// Set the first 12 bits to 0 in the random string.
$y = $entropy & $first12;
// Now set the first 12 bits to be 0[exponent], where exponent is randomly chosen between 1 and 1022.
// Here $e has a probability of 0.5 to be 1022, 0.25 to be 1021, etc.
$e = 1022;
while($e > 1) {
if(mt_rand(0,1) == 0) {
break;
} else {
--$e;
}
}
// Pack the exponent properly (add four '0' bits behind it and 49 more in front)
$z = "\0\0\0\0\0\0" . pack("S", $e << 4);
// Now convert to a double.
return unpack("d", $y | $z)[1];
}
Please note that the above code only works on 64-bit machines with a Litte-Endian byte order and Intel-style IEEE754 representation. (x64-compatible computers will have this). Unfortunately PHP does not allow bit-shifting past int32-sized boundaries, so you have to write a separate function for Big-Endian.
You should replace this line:
$z = "\0\0\0\0\0\0" . pack("S", $e << 4);
with its big-endian counterpart:
$z = pack("S", $e << 4) . "\0\0\0\0\0\0";
The difference is only notable when the function is called a large amount of times: 10^9 or more.
Testing if this works
It should be obvious that the mantissa follows a nice uniform distribution approximation, but it's less obvious that a sum of a large amount of such distributions (each with cumulatively halved chance and amplitude) is uniform.
Running:
function randomNumbers() {
$f = 0.0;
for($i = 0; $i < 1000000; ++$i) {
$f += \math::rand_754_01();
}
echo $f / 1000000;
}
Produces an output of 0.49999928273099 (or a similar number close to 0.5).
I found the answer on PHP.net
<?php
function randomFloat($min = 0, $max = 1) {
return $min + mt_rand() / mt_getrandmax() * ($max - $min);
}
var_dump(randomFloat());
var_dump(randomFloat(2, 20));
?>
float(0.91601131712832)
float(16.511210331931)
So you could do
randomFloat(0,1);
or simple
mt_rand() / mt_getrandmax() * 1;
what about:
echo (float)('0.' . rand(0,99999));
would probably work fine... hope it helps you.
My question is how could I replace those if's with math formula?
if ($l <= 3500)
{
$min = 100;
}
elseif ($l <= 4000)
{
$min = 120;
}
elseif ($l <= 4500)
{
$min = 140;
}
elseif ($l <= 5000)
{
$min = 160;
}
As you see this is raising 20 for every 500 levels.
As you see this is raising 20 for every 500 levels.
Well, that's your formula right there.
$min = 100 + ceil(($l-3500)/500) * 20;
We start with 100, our base value and add that to the rest of the calculation.
$l starts with 3500 less.
We ceil() the result since we only want to jump when we pass the whole value.
We multiply that by 20.
If we want to address the case where $l is less than 3500 and set 100 as the minimum value, we also need to asset that $l-3500 is more than zero. We can do this as such:
$min = 100 + ceil(max(0,$l-3500)/500) * 20;
How did I get there?
What we're actually doing is plotting a line. Like you said yourself we go a constant amount for every constant amount. We have something called linear progression here.
Great, so we recognized the problem we're facing. We have an imaginary line to plot and we want integer values. What next? Well, let's see where the line starts?
In your case the answer is pretty straightforward.
if ($l <= 3500) {
$min = 100;
}
That's our starting point. So we know the point (3500,100) is on our line. This means the result starts at 100 and the origin starts at 3500.
We know that our formula is in the form of 100+<something>. What is that something?
Like you said, for every 500 levels you're raising 20. So we know we move 20/500 for every 1 level (because well, if we multiply that by 500 we get our original rule). We also know (from before) that we start from 3500.
Now, we might be tempted to use $min = 100 + ($l-3500) * (20/500); and that's almost right. The only problem here is that you only want integer values. This is why we ceil the value of level/500 to only get whole steps.
I tried to keep this with as little math terminology as possible, you can check the wikipedia page if you want things more formal. If you'd like any clarification - let me know
Here is my approach about this problem. It's not better than a single-line formula, but for sake of being modifiable, I generally decide this kind of solutions:
$min = 100;
for($i=3500; $i<=5000; $i+=500)
{
if($l <= $i) break;
$min += 20;
}
//Now $min has got desired value.
You can express the function as follows:
f(x) := a * x + b
The inclination of the line is calculated as:
a := 20 / 500
To find b you need to extrapolate a value that's on the line; in this case, that could be 3500 (x) and 120 (f(x)). That works out to be -40.
So the function has become:
f(x) := (20 / 500) * x - 40
There are two special cases:
Left of 3500 the value of f(x) must remain 100, even though f(x) is less.
The inclination is not continuous but discrete.
Both cases applied:
$min = max(100, ceil($l / 500) * 20 - 40)
I have a problem with some SQL value & PHP.
I am doing 2 request, one to add a value into my sql and the other one to minus this result.
Here it is :
$totaux = $montant_actuel + ($nbre_dej * $prix_dejeuner) + ($nbre_din * $prix_diner) + ($nbre_soir_etape * $prix_etape);
When i'm doing this, it's equal to:
sum = 0 + (15.8*1) + (15.8*1) + (57.8*0)
So I have : 31.6
But when i'm trying to do :
$totaux = $montant_actuel - ($nbre_dej * $prix_dejeuner) - ($nbre_din * $prix_diner) - ($nbre_soir_etape * $prix_etape);
sum = 31.6 - (15.8*1) - (15.8*1) - (57.8*0)
And then, when i insert it into my DB i have this record : 0.0000000000000142109 instead of 0
I don't understand why is this happening.
it seems like a simple rounding error inside the database. if you're using float or double change it to decimal to avoid rounding errors.
It can be a problem with precision of numbers... use some functions from: here
How does one generate a random float between 0 and 1 in PHP?
I'm looking for the PHP's equivalent to Java's Math.random().
You may use the standard function: lcg_value().
Here's another function given on the rand() docs:
// auxiliary function
// returns random number with flat distribution from 0 to 1
function random_0_1()
{
return (float)rand() / (float)getrandmax();
}
Example from documentation :
function random_float ($min,$max) {
return ($min+lcg_value()*(abs($max-$min)));
}
rand(0,1000)/1000 returns:
0.348 0.716 0.251 0.459 0.893 0.867 0.058 0.955 0.644 0.246 0.292
or use a bigger number if you want more digits after decimal point
class SomeHelper
{
/**
* Generate random float number.
*
* #param float|int $min
* #param float|int $max
* #return float
*/
public static function rand($min = 0, $max = 1)
{
return ($min + ($max - $min) * (mt_rand() / mt_getrandmax()));
}
}
update:
forget this answer it doesnt work wit php -v > 5.3
What about
floatVal('0.'.rand(1, 9));
?
this works perfect for me, and it´s not only for 0 - 1 for example between 1.0 - 15.0
floatVal(rand(1, 15).'.'.rand(1, 9));
function mt_rand_float($min, $max, $countZero = '0') {
$countZero = +('1'.$countZero);
$min = floor($min*$countZero);
$max = floor($max*$countZero);
$rand = mt_rand($min, $max) / $countZero;
return $rand;
}
example:
echo mt_rand_float(0, 1);
result: 0.2
echo mt_rand_float(3.2, 3.23, '000');
result: 3.219
echo mt_rand_float(1, 5, '00');
result: 4.52
echo mt_rand_float(0.56789, 1, '00');
result: 0.69
$random_number = rand(1,10).".".rand(1,9);
function frand($min, $max, $decimals = 0) {
$scale = pow(10, $decimals);
return mt_rand($min * $scale, $max * $scale) / $scale;
}
echo "frand(0, 10, 2) = " . frand(0, 10, 2) . "\n";
This question asks for a value from 0 to 1. For most mathematical purposes this is usually invalid albeit to the smallest possible degree. The standard distribution by convention is 0 >= N < 1. You should consider if you really want something inclusive of 1.
Many things that do this absent minded have a one in a couple billion result of an anomalous result. This becomes obvious if you think about performing the operation backwards.
(int)(random_float() * 10) would return a value from 0 to 9 with an equal chance of each value. If in one in a billion times it can return 1 then very rarely it will return 10 instead.
Some people would fix this after the fact (to decide that 10 should be 9). Multiplying it by 2 should give around a ~50% chance of 0 or 1 but will also have a ~0.000000000465% chance of returning a 2 like in Bender's dream.
Saying 0 to 1 as a float might be a bit like mistakenly saying 0 to 10 instead of 0 to 9 as ints when you want ten values starting at zero. In this case because of the broad range of possible float values then it's more like accidentally saying 0 to 1000000000 instead of 0 to 999999999.
With 64bit it's exceedingly rare to overflow but in this case some random functions are 32bit internally so it's not no implausible for that one in two and a half billion chance to occur.
The standard solutions would instead want to be like this:
mt_rand() / (getrandmax() + 1)
There can also be small usually insignificant differences in distribution, for example between 0 to 9 then you might find 0 is slightly more likely than 9 due to precision but this will typically be in the billionth or so and is not as severe as the above issue because the above issue can produce an invalid unexpected out of bounds figure for a calculation that would otherwise be flawless.
Java's Math.random will also never produce a value of 1. Some of this comes from that it is a mouthful to explain specifically what it does. It returns a value from 0 to less than one. It's Zeno's arrow, it never reaches 1. This isn't something someone would conventionally say. Instead people tend to say between 0 and 1 or from 0 to 1 but those are false.
This is somewhat a source of amusement in bug reports. For example, any PHP code using lcg_value without consideration for this may glitch approximately one in a couple billion times if it holds true to its documentation but that makes it painfully difficult to faithfully reproduce.
This kind of off by one error is one of the common sources of "Just turn it off and on again." issues typically encountered in embedded devices.
Solution for PHP 7. Generates random number in [0,1). i.e. includes 0 and excludes 1.
function random_float() {
return random_int(0, 2**53-1) / (2**53);
}
Thanks to Nommyde in the comments for pointing out my bug.
>>> number_format((2**53-1)/2**53,100)
=> "0.9999999999999998889776975374843459576368331909179687500000000000000000000000000000000000000000000000"
>>> number_format((2**53)/(2**53+1),100)
=> "1.0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
Most answers are using mt_rand. However, mt_getrandmax() usually returns only 2147483647. That means you only have 31 bits of information, while a double has a mantissa with 52 bits, which means there is a density of at least 2^53 for the numbers between 0 and 1.
This more complicated approach will get you a finer distribution:
function rand_754_01() {
// Generate 64 random bits (8 bytes)
$entropy = openssl_random_pseudo_bytes(8);
// Create a string of 12 '0' bits and 52 '1' bits.
$x = 0x000FFFFFFFFFFFFF;
$first12 = pack("Q", $x);
// Set the first 12 bits to 0 in the random string.
$y = $entropy & $first12;
// Now set the first 12 bits to be 0[exponent], where exponent is randomly chosen between 1 and 1022.
// Here $e has a probability of 0.5 to be 1022, 0.25 to be 1021, etc.
$e = 1022;
while($e > 1) {
if(mt_rand(0,1) == 0) {
break;
} else {
--$e;
}
}
// Pack the exponent properly (add four '0' bits behind it and 49 more in front)
$z = "\0\0\0\0\0\0" . pack("S", $e << 4);
// Now convert to a double.
return unpack("d", $y | $z)[1];
}
Please note that the above code only works on 64-bit machines with a Litte-Endian byte order and Intel-style IEEE754 representation. (x64-compatible computers will have this). Unfortunately PHP does not allow bit-shifting past int32-sized boundaries, so you have to write a separate function for Big-Endian.
You should replace this line:
$z = "\0\0\0\0\0\0" . pack("S", $e << 4);
with its big-endian counterpart:
$z = pack("S", $e << 4) . "\0\0\0\0\0\0";
The difference is only notable when the function is called a large amount of times: 10^9 or more.
Testing if this works
It should be obvious that the mantissa follows a nice uniform distribution approximation, but it's less obvious that a sum of a large amount of such distributions (each with cumulatively halved chance and amplitude) is uniform.
Running:
function randomNumbers() {
$f = 0.0;
for($i = 0; $i < 1000000; ++$i) {
$f += \math::rand_754_01();
}
echo $f / 1000000;
}
Produces an output of 0.49999928273099 (or a similar number close to 0.5).
I found the answer on PHP.net
<?php
function randomFloat($min = 0, $max = 1) {
return $min + mt_rand() / mt_getrandmax() * ($max - $min);
}
var_dump(randomFloat());
var_dump(randomFloat(2, 20));
?>
float(0.91601131712832)
float(16.511210331931)
So you could do
randomFloat(0,1);
or simple
mt_rand() / mt_getrandmax() * 1;
what about:
echo (float)('0.' . rand(0,99999));
would probably work fine... hope it helps you.
This is a simple question,I guess, but I couldn't figure it out.
How do I get a total sum of sequential numbers in PHP Like 2,4,6,8,10 . . . .1000
Thank you for the help.
$sum = array_sum(explode(',', '2,4,6,8'));
edit: if you just want the sum of even numbers within a range you could
$sum = array_sum(range(2,1000,2));
Split on , and then sum:
$numbers = explode(",", $string);
$total = array_sum($numbers);
echo $total;
Note that this requires only numbers and , any other characters will be subject of being typecasted to an integer (which could result in unexpected results).
If you wanted to you could also use the Arithmetic progression sum and just do
$total = ($firstNumber + $lastNumber) * $count / 2
This will work as long as the numbers are a expressable in the format
an = a1 + (n - 1)d
Your sequence could be described as
an = 2 + (n - 1)2
So we can apply the Arithmetic progression sum and get
(2 + 1000) * 500 / 2 = 250,500
This will be much much faster than any array_sum method of calculating it.