Inputs
Outputs
Neuron type
Best algorithm has been found - locked
Patterns
Pattern |
Input |
Output |
1. |
path: |
c:\Windows\notepad.exe |
|
|
2. |
|
|
3. |
path: |
c:\Windows\System32\help.exe |
|
|
Applicable neurons
-
character \
-
Get after last substring
-
Rectangle - circuit
-
Half (0.5)
-
discriminant b² - 4ac
-
\\w
-
convert seconds into hours, minutes and seconds
Algorithm
Test
Code made by AI:
/**
* character \:
*
* @return {Array}
*/
function neuron583()
{
return ['\\'];
}
/**
* Length of string:
*
* @param x1 String
* @return {Array}
*/
function neuron528(x1)
{
return[x1.toString().length];
}
/**
* PositionLast: Search last occurrence
*
* @param x1 MyString
* @param x2 FindMe
* @return {Array}
*/
function neuron581(x1, x2)
{
return [x1.toString().lastIndexOf(x2)];
}
/**
* Plus (x + y): The addition of two whole numbers is the total amount of those quantities combined.
*
* @param x1 first number
* @param x2 second number
* @return {Array}
*/
function neuron1(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '+'+Number(x2)).toString()];
}
/**
* Length of string:
*
* @param x1 String
* @return {Array}
*/
function neuron528(x1)
{
return[x1.toString().length];
}
/**
* Substring (startPosition, endPosition): Get substring from string - from position - to pos
*
* @param x1 MyString
* @param x2 start position
* @param x3 end position
* @return {Array}
*/
function neuron525(x1, x2, x3)
{
return[x1.toString().substring(x2, x3)];
}
/**
* Substring (from position to end):
*
* @param x1 MyString
* @param x2 start position
* @return {Array}
*/
function neuron529(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron528(outputs[0]);
outputs[2] = arr[0];
arr = neuron525(outputs[0], outputs[1], outputs[2]);
outputs[3] = arr[0];
return[outputs[3]];
}
/**
* Get after last substring:
*
* @param x1 MyString
* @param x2 Substring
* @return {Array}
*/
function neuron618(x1, x2)
{
var outputs = [];
outputs[0] = x1;
outputs[1] = x2;
arr = neuron528(outputs[1]);
outputs[2] = arr[0];
arr = neuron581(outputs[0], outputs[1]);
outputs[3] = arr[0];
arr = neuron1(outputs[2], outputs[3]);
outputs[4] = arr[0];
arr = neuron529(outputs[0], outputs[4]);
outputs[5] = arr[0];
return[outputs[5]];
}
/**
* fileName from path:
*
* @param x1 path
* @return {Array}
*/
function neuron582(x1)
{
var outputs = [];
outputs[0] = x1;
arr = neuron583();
outputs[1] = arr[0];
arr = neuron618(outputs[0], outputs[1]);
outputs[2] = arr[0];
return[outputs[2]];
}
Code made by AI: