Inputs
-
number
-
decimal part of a Real number is 0
-
decimal part of a Real number is not 0
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
number: |
4.222 |
decimal part of a Real number is 0: |
without decimal part |
decimal part of a Real number is not 0: |
with decimal part |
|
result: |
with decimal part |
|
2. |
number: |
10 |
decimal part of a Real number is 0: |
integer |
decimal part of a Real number is not 0: |
real |
|
|
3. |
number: |
10.2 |
decimal part of a Real number is 0: |
0 |
decimal part of a Real number is not 0: |
2 |
|
|
4. |
number: |
-12.1 |
decimal part of a Real number is 0: |
1 |
decimal part of a Real number is not 0: |
0 |
|
|
Applicable neurons
-
a = b
-
Round to an integer
-
IF a=b THEN c ELSE d
-
Decimal part of a number
-
Distance (by Torque, Force)
-
fileName from path
-
10
-
(a, b)
-
character c
-
select .... order by .... asc (A, B, C)
Algorithm
Test
Code made by AI:
/**
* Round to an integer: round(x)
*
* @param x1 Value
* @return {Array}
*/
function neuron620(x1)
{
return[Math.round(Number(x1))]
}
/**
* a = b: IF a=b THEN 1 ELSE 0;
*
* @param x1 a
* @param x2 b
* @return {Array}
*/
function neuron591(x1, x2)
{
return [(x1 == x2) ? 1 : 0];
}
/**
* IF: IF a THEN b ELSE c;
*
* @param x1 condition (1/0)
* @param x2 variable for 1
* @param x3 variable for 0
* @return {Array}
*/
function neuron579(x1, x2, x3)
{
return [(x1) ? x2 : x3];
}
/**
* IF a=b THEN c ELSE d:
*
* @param x1 a
* @param x2 b
* @param x3 c
* @param x4 d
* @return {Array}
*/
function neuron724(x1, x2, x3, x4)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
outputs[3] = x4;
arr = neuron591(outputs[1], outputs[0]);
outputs[4] = arr[0];
arr = neuron579(outputs[4], outputs[2], outputs[3]);
outputs[5] = arr[0];
return[outputs[5]];
}
/**
* If number is without decimal part then X else Y:
*
* @param x1 number
* @param x2 decimal part of a Real number is 0
* @param x3 decimal part of a Real number is not 0
* @return {Array}
*/
function neuron899(x1, x2, x3)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
outputs[2] = x3;
arr = neuron620(outputs[0]);
outputs[3] = arr[0];
arr = neuron724(outputs[0], outputs[3], outputs[1], outputs[2]);
outputs[4] = arr[0];
return[outputs[4]];
}
Code made by AI: