Page 83 - JavaScript

}

// simulate weighted dice where 6 is twice as likely as any other face
// using multiples of likelihood
console.log("Rolled a "+(simulateEvent([1,1,1,1,1,2])+1)); // Rolled a 1

// using probabilities
console.log("Rolled a "+(simulateEvent([1/7,1/7,1/7,1/7,1/7,2/7])+1)); // Rolled a 6

As you probably noticed, these functions return an index, so you could have more descriptive
outcomes stored in an array. Here's an example.

var rewards = ["gold coin","silver coin","diamond","god sword"];
var likelihoods = [5,9,1,0];
// least likely to get a god sword (0/15 = 0%, never),
// most likely to get a silver coin (9/15 = 60%, more than half the time)

// simulate event, log reward
console.log("You get a "+rewards[simulateEvent(likelihoods)]); // You get a silver coin

Little / Big endian for typed arrays when using bitwise operators

To detect the endian of the device

var isLittleEndian = true;
(()=>{
var buf = new ArrayBuffer(4);
var buf8 = new Uint8ClampedArray(buf);
var data = new Uint32Array(buf);
data[0] = 0x0F000000;
if(buf8[0] === 0x0f){
isLittleEndian = false;
}
})();

Little-Endian stores most significant bytes from right to left.

Big-Endian stores most significant bytes from left to right.

var myNum = 0x11223344 | 0; // 32 bit signed integer
var buf = new ArrayBuffer(4);
var data8 = new Uint8ClampedArray(buf);
var data32 = new Uint32Array(buf);
data32[0] = myNum; // store number in 32Bit array

If the system uses Little-Endian, then the 8bit byte values will be

console.log(data8[0].toString(16)); // 0x44
console.log(data8[1].toString(16)); // 0x33
console.log(data8[2].toString(16)); // 0x22
console.log(data8[3].toString(16)); // 0x11

If the system uses Big-Endian, then the 8bit byte values will be

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