Midpoint (3d)

Inputs

  • Point A: xa
  • Point A: ya
  • Point A: za
  • Point B: xb
  • Point B: yb
  • Point B: zb

Outputs

  • Midpoint C xc
  • Midpoint C yc
  • Midpoint C zc

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
Point A: xa: 2
Point A: ya: 5
Point A: za: 11
Point B: xb: 1
Point B: yb: 3
Point B: zb: 6
Midpoint C xc: 1.5
Midpoint C yc: 4
Midpoint C zc: 8.5
2.
Point A: xa: 1
Point A: ya: 2
Point A: za: 3
Point B: xb: 4
Point B: yb: 5
Point B: zb: 6
Midpoint C xc: 2.5
Midpoint C yc: 3.5
Midpoint C zc: 4.5
3.
Point A: xa: 6
Point A: ya: 5
Point A: za: 4
Point B: xb: 4
Point B: yb: 5
Point B: zb: 6
Midpoint C xc: 5
Midpoint C yc: 5
Midpoint C zc: 5

Applicable neurons

  • Midpoint (2d)
  • Rectangular cuboid - volume
  • Get substring between string1 and string2
  • Implication
  • ext from path
  • Connect - two words (with space)
  • character *
  • word and
  • Connect - eight inputs
  • middle
  • Check if a string ends with a specified string

Algorithm

Test

Code made by AI:
/**
 * 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()];
}

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

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

/**
 * 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 = neuron505();
  outputs[0] = arr[0];

  arr = neuron510();
  outputs[1] = arr[0];

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

/**
 * Midpoint (2d): 
 * 
 * @param x1 Point A: xa
 * @param x2 Point A: ya
 * @param x3 Point B: xb
 * @param x4 Point B: yb
 * @return {Array}
 */
function neuron659(x1, x2, x3, x4)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;

  arr = neuron1(outputs[3], outputs[1]);
  outputs[4] = arr[0];

  arr = neuron522();
  outputs[5] = arr[0];

  arr = neuron1(outputs[2], outputs[0]);
  outputs[6] = arr[0];

  arr = neuron3(outputs[4], outputs[5]);
  outputs[7] = arr[0];

  arr = neuron3(outputs[6], outputs[5]);
  outputs[8] = arr[0];

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


/**
 * Midpoint (3d): 
 * 
 * @param x1 Point A: xa
 * @param x2 Point A: ya
 * @param x3 Point A: za
 * @param x4 Point B: xb
 * @param x5 Point B: yb
 * @param x6 Point B: zb
 * @return {Array}
 */
function neuron660(x1, x2, x3, x4, x5, x6)
{
  var outputs = [];
  outputs[0] = x1;
  outputs[1] = x2;
  outputs[2] = x3;
  outputs[3] = x4;
  outputs[4] = x5;
  outputs[5] = x6;

  arr = neuron659(outputs[2], outputs[3], outputs[5], outputs[0]);
  outputs[6] = arr[0];

;   outputs[7] = arr[1];

  arr = neuron659(outputs[2], outputs[4], outputs[0], outputs[1]);
  outputs[8] = arr[0];

;   outputs[9] = arr[1];

  return[outputs[7], outputs[9], outputs[6]];
}


Code made by AI:

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