middle

Description

Middle of rectangle

Inputs

  • Rectangle - X
  • Rectangle - Y
  • Rectangle - width
  • Rectangle - height

Outputs

  • middle of rectangle - X
  • middle of rectangle - Y

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
Rectangle - X: 0
Rectangle - Y: 0
Rectangle - width: 0
Rectangle - height: 0
middle of rectangle - X: 0
middle of rectangle - Y: 0
2.
Rectangle - X: 1
Rectangle - Y: 4
Rectangle - width: 4
Rectangle - height: 2
middle of rectangle - X: 3
middle of rectangle - Y: 5
3.
Rectangle - X: 2
Rectangle - Y: 1
Rectangle - width: 1
Rectangle - height: 2
middle of rectangle - X: 2.5
middle of rectangle - Y: 2

Applicable neurons

  • Plus (x + y)
  • Minus (x - y)
  • Multiple (x × y)
  • Half (0.5)
  • Substring (from position to end)
  • Volume Of a Pyramid
  • square/rhombus - Perimeter
  • 180
  • Connect - four inputs
  • Can we fix it? (1/0)
  • Degrees into radians
  • Connect - six inputs
  • a-z
  • n*
  • sql A+B

Algorithm

Test

Code made by AI:
/**
 * character .: 
 *
 * @return {Array}
 */
function neuron510()
{
return['.'];
}

/**
 * 5: 
 *
 * @return {Array}
 */
function neuron505()
{
return [5];
}

/**
 * Connect - two inputs: 
 *
 * @param x1 Variable A
 * @param x2 Variable B
 * @return {Array}
 */
function neuron520(x1, x2)
{
return [x1.toString()+x2.toString()];
}

/**
 * Half (0.5): 
 * 
 * @return {Array}
 */
function neuron522()
{
  var outputs = [];

  arr = neuron510();
  outputs[0] = arr[0];

  arr = neuron505();
  outputs[1] = arr[0];

  arr = neuron520(outputs[0], outputs[1]);
  outputs[2] = arr[0];

  return[outputs[2]];
}


/**
 * Multiple (x × y): 
 *
 * @param x1 Number X
 * @param x2 Number Y
 * @return {Array}
 */
function neuron3(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '*'+Number(x2)).toString()];
}

/**
 * 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()];
}

/**
 * middle: Middle of rectangle
 * 
 * @param x1 Rectangle - X
 * @param x2 Rectangle - Y
 * @param x3 Rectangle - width
 * @param x4 Rectangle - height
 * @return {Array}
 */
function neuron839(x1, x2, x3, x4)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;

  arr = neuron522();
  outputs[4] = arr[0];

  arr = neuron3(outputs[2], outputs[4]);
  outputs[5] = arr[0];

  arr = neuron3(outputs[4], outputs[3]);
  outputs[6] = arr[0];

  arr = neuron1(outputs[6], outputs[1]);
  outputs[7] = arr[0];

  arr = neuron1(outputs[0], outputs[5]);
  outputs[8] = arr[0];

  return[outputs[8], outputs[7]];
}


Code made by AI:

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