Then it was suggested that we try to work out which really is the fastest. What follows is me trying.
So I need first of all to mention my working environment. It's call Lychen and it's a wrapping of the V8 JavaScript engine in a C# command line application with access to some C# objects, methods and properties. Lychen is «not supposed to be cutting-edge. Rather, it's on the spine of the blade, about as far from the cutting-edge as one can get without leaving the blade altogether.» (see the Wiki).
You might say to me, "Hey, what about node?" My response is usually along the lines of "I just can't get my head around the promises and the asynchrony. Maybe one day."
So here's the code.
const Console = CS.System.Console;
CS. exposes a large number of C# core and third party objects into the Lychen (V8) environment. Rather than keep typing CS.System.Console we create an abbreviation. if (CSSettings.ContainsKey("/D")) {
debugger;
}
On launch,
CSSettings (a Dictionary) receives all the command line parameters. In this case, if it's /D we debug.
const times = CSSettings.ContainsKey("/TIMES") ? parseInt(CSSettings("/TIMES"), 10) : 1000;
Similarly, here we check for the presence of
/TIMES and if it's, say, /TIMES:123 then times is set to 123. Otherwise times defaults to 1000. /TIMES exists because we want to be able to run each test many times. The first test of any routine usually takes a bit longer than subsequent runs due to operating system caching. We'll take many measurements and then average them in the hope of getting a better idea of how long things really take.
var original;
if (CSSettings.ContainsKey("/RANDOM")) {
original = Array(12500)
.fill(0)
.map(function () {
return String.fromCharCode(Math.floor(Math.random() * 256));
}).join("");
} else {
original = Array(500).join("lewd did i live - evil i did dwel").substr(0, 12500);
}
If the command-line contains
/RANDOM we generate a test string of 12500 random ASCII characters. Otherwise we fill an array with some text and then truncate it to 12500 characters. 12500 was chosen because larger numbers caused the recursive functions to fail impolitely. var reversed = Sarah_ForOf(original);
We use one of the following reversal functions to reverse the
original test string so that we can double check that the reversal actually WAA (Works As Advertised). function TimeTest(name, fn, original) {
var Stopwatch = new CS.System.Diagnostics.Stopwatch();
Stopwatch.Start();
var answer = fn(original);
Stopwatch.Stop();
var ts = Stopwatch.Elapsed;
return {
name: name,
ticks: ts.Ticks,
reversed: answer
};
}
We use C#'s
System.Diagnostics.Stopwatch to track the run time of the function being tested. The parameters are: the name of the function, the function's reference, and the string to be tested. The Ticks of the Elapsed result of the run are returned along with the name and the results of the reversal. More about Ticks at the end. function EmptyFunction(string) {
return string;
}
We want to account for the cost of actually making the call, so we will time how long it takes just to load run an empty function that returns a string.
Next come the contributed routines.
const Sarah_SplitReverseJoin = (string) => string.split("").reverse().join('');
const Nathanael_SplitReverseJoin = (string) => [...string].reverse().join('');
function Sarah_ForOf(string) {
let reverseString = "";
for (let character of string) {
reverseString = character + reverseString;
}
return reverseString;
}
const Sarah_Reduce = (string) => string.split('').reduce((rev, char) => char + rev, '')
function Sarah_Recursive(string) {
return string ? Sarah_Recursive(string.substring(1)) + string[0] : string;
}
function Theophanis_SplitFor(string) {
let result = string.split('');
for (let i = 0, j = string.length - 1; i < j; i++, j--) {
result[i] = string[j];
result[j] = string[i];
}
return result.join('');
}
function Theophanis_SplitFor_Bruced(string) {
let result = string.split('');
for (let i = 0, j = string.length - 1; i < j; i++, j--) {
const string_i = string[i];
const string_j = string[j];
if (result[i] !== string_j) {
result[i] = string_j;
}
if (result[j] !== string_i) {
result[j] = string_i;
}
}
return result.join('');
}
I thought that checking for the need to swap before actually swapping would be a good optimisation. I was wrong, especially with respect to random data
function Bruce_ArrayApplyMap(string) {
return Array.apply(null, new Array(string.length).fill(0).map(function (_, i) {
return string.charAt(string.length - 1 - i);
})).join("");
}
function Bruce_MapSortMap(string) {
return Array(string.length)
.fill({})
.map(function (item, index) {
return {
index: index,
character: string.charAt(index)
};
}).sort(function (a, b) {
return a.index > b.index ? -1 : (a.index === b.index ? 0 : 1);
}).map(function (item) {
return item.character;
}).join("");
}
function Bruce_Recursive1(string) {
return (string.length === 1)
? string
: Bruce_Recursive1(string.substr(1)) + string.substr(0, 1);
}
function Bruce_Recursive2(string) {
if (1 >= string.length)
return string;
return (
string.substr(-1) +
Bruce_Recursive2(string.substr(1, string.length - 2)) +
string.substr(0, 1));
}
function Bruce_CharAt(string) {
const result = Array(string.length);
for (let i = string.length - 1, j = 0; i >= 0; i--, j++) {
result[j] = string.charAt(i);
}
return result.join("");
}
function Bruce_CharAt2(string) {
const result = Array(string.length).fill(1);
result.map(function (item,index) {
let rhs = string.length - 1 - index;
result[index] = string.charAt(index);
});
return result.join("");
}
That's all the contributed functions.
const namesAndCodes = [{
name: "Sarah_SplitReverseJoin",
code: Sarah_SplitReverseJoin
}, {
name: "Sarah_ForOf",
code: Sarah_ForOf
}, {
name: "Sarah_Reduce",
code: Sarah_Reduce
}, {
name: "Sarah_Recursive",
code: Sarah_Recursive
}, {
name: "Theophanis_SplitFor",
code: Theophanis_SplitFor
}, {
name: "Theophanis_SplitFor_Bruced",
code: Theophanis_SplitFor_Bruced
}, {
name: "Nathanael_SplitReverseJoin",
code: Nathanael_SplitReverseJoin
}, {
name: "Bruce_ArrayApplyMap",
code: Bruce_ArrayApplyMap
}, {
name: "Bruce_MapSortMap",
code: Bruce_MapSortMap
}, {
name: "Bruce_Recursive1",
code: Bruce_Recursive1
}, {
name: "Bruce_Recursive2",
code: Bruce_Recursive2
}, {
name: "Bruce_CharAt",
code: Bruce_CharAt
}, {
name: "Bruce_CharAt2",
code: Bruce_CharAt2
}
];
The names and functions to be tested.
var gathering = {};
for (let i = 0; i < times; i++) {
namesAndCodes.forEach(function (item) {
const eps = TimeTest("EmptyFunction", EmptyFunction, original).ticks;
const result = TimeTest(item.name, item.code, original);
if (!gathering[result.name]) {
gathering[result.name] = [];
}
gathering[result.name].push(result.ticks - eps);
});
}
Here we do the testing, looping from zero to whatever value
times holds. We forEach through the namesAndCodes structure. We calculate the time it takes to run an empty function and then we subtract that from the ticks of the result of the test. gathering holds the result of each test in an array keyed to the name of the function. const average = arr => arr.reduce((p, c) => p + c, 0) / arr.length;
Object.keys(gathering).map(function (item) {
return [item, average(gathering[item])];
}).sort(function (a, b) {
return a[1] > b[1] ? 1 : a[1] === b[1] ? 0 : -1;
}).forEach(function (item) {
Console.WriteLine("{0,-28}{1} ticks", item[0], item[1]);
});
""
Report on the results: Convert the gathering object into array[,] of name and averge, sort on the second item so that fastest comes first, write the results to the console with the name left-justified in a 28 character field, followed by the ticks.
And the results?
>timer.ly /TIMES:1000
Sarah_ForOf 2141.86 ticks
Sarah_SplitReverseJoin 2444.758 ticks
Sarah_Reduce 2805.243 ticks
Bruce_CharAt 2842.139 ticks
Nathanael_SplitReverseJoin 3035.17 ticks
Theophanis_SplitFor 3142.142 ticks
Bruce_Recursive1 3319.84 ticks
Bruce_Recursive2 3451.674 ticks
Theophanis_SplitFor_Bruced 3616.858 ticks
Sarah_Recursive 4645.366 ticks
Bruce_ArrayApplyMap 5637.1 ticks
Bruce_MapSortMap 9754.566 ticks
Bruce_CharAt2 13721.967 ticks
>timer.ly /TIMES:1000 /RANDOM
Sarah_ForOf 1850.582 ticks
Sarah_SplitReverseJoin 2655.574 ticks
Theophanis_SplitFor 2815.478 ticks
Nathanael_SplitReverseJoin 2832.566 ticks
Bruce_CharAt 2842.439 ticks
Sarah_Reduce 2845.746 ticks
Bruce_Recursive2 3224.578 ticks
Bruce_Recursive1 3306.136 ticks
Theophanis_SplitFor_Bruced 3428.827 ticks
Sarah_Recursive 4258.6 ticks
Bruce_ArrayApplyMap 5421.202 ticks
Bruce_MapSortMap 9748.012 ticks
Bruce_CharAt2 13477.231 ticks
On my computer there are 10,000,000 ticks per second (using CS.System.Diagnostics.Stopwatch.Frequency). According do the documentation "Each tick in the ElapsedTicks value represents the time interval equal to 1 second divided by the Frequency."
The bottom line? Sarah's ForOf and SplitReverseJoin are by far the fastest. Theophanis's SplitFor is also really good. That said, the differences are in microseconds or less.
NOTE: All suggestions on how to improve this testing regime gratefully received. Thanks in advance.
Please note: this blog post was originally published at Dev.to on 2019-07-20.
