Degrees into radians

Inputs

  • Degrees

Outputs

  • Radians

Neuron type

Best algorithm has been found - locked

Patterns

Pattern Input Output
1.
Degrees: 401.07045659157626
Radians: 7
2.
Degrees: 286.4788975654116
Radians: 5
3.
Degrees: 0
Radians: 0

Applicable neurons

  • Multiple (x × y)
  • Division (x ÷ y)
  • 180
  • Pi (π) - 3.141592653589793
  • disk from path
  • [a, b)
  • ≤, ≥ opposite
  • character b

Algorithm

Test

Code made by AI:
/**
 * Pi (π) - 3.141592653589793: 
 *
 * @return {Array}
 */
function neuron560()
{
math.config({number: 'BigNumber', precision: 64}); return[math.PI]; /* return [3.141592653589793] */
}

/**
 * 0: 
 *
 * @return {Array}
 */
function neuron500()
{
return [0];
}

/**
 * 8: 
 *
 * @return {Array}
 */
function neuron508()
{
return [8];
}

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

/**
 * 1: 
 *
 * @return {Array}
 */
function neuron501()
{
return [1];
}

/**
 * 180: 
 * 
 * @return {Array}
 */
function neuron559()
{
  var outputs = [];

  arr = neuron500();
  outputs[0] = arr[0];

  arr = neuron508();
  outputs[1] = arr[0];

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

  arr = neuron501();
  outputs[3] = arr[0];

  arr = neuron520(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


/**
 * 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()];
}

/**
 * Division (x ÷ y): X / Y
 *
 * @param x1 first number
 * @param x2 second number
 * @return {Array}
 */
function neuron17(x1, x2)
{
math.config({number: 'BigNumber', precision: 64}); return [math.eval(Number(x1) + '/'+Number(x2)).toString()];
}

/**
 * Degrees into radians: 
 * 
 * @param x1 Degrees
 * @return {Array}
 */
function neuron605(x1)
{
  var outputs = [];
  outputs[0] = x1;

  arr = neuron560();
  outputs[1] = arr[0];

  arr = neuron559();
  outputs[2] = arr[0];

  arr = neuron3(outputs[1], outputs[0]);
  outputs[3] = arr[0];

  arr = neuron17(outputs[3], outputs[2]);
  outputs[4] = arr[0];

  return[outputs[4]];
}


Code made by AI:

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