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sliced - npm Package Compare versions

Comparing version 0.0.5 to 1.0.0

6

History.md
1.0.0 / 2015-07-12
==================
* Remove unnecessary files from npm package - #6 via joaquimserafim
* updated readme stats
0.0.5 / 2013-02-05

@@ -3,0 +9,0 @@ ==================

7

package.json
{
"name": "sliced",
"version": "0.0.5",
"version": "1.0.0",
"description": "A faster Node.js alternative to Array.prototype.slice.call(arguments)",
"main": "index.js",
"files": [
"LICENSE",
"README.md",
"index.js"
],
"scripts": {

@@ -7,0 +12,0 @@ "test": "make test"

40

README.md

@@ -10,30 +10,30 @@ #sliced

Array.prototype.slice.call x 1,320,205 ops/sec ±2.35% (92 runs sampled)
[].slice.call x 1,314,605 ops/sec ±1.60% (95 runs sampled)
cached slice.call x 10,468,380 ops/sec ±1.45% (95 runs sampled)
sliced x 16,608,237 ops/sec ±1.40% (92 runs sampled)
Array.prototype.slice.call x 1,401,820 ops/sec ±2.16% (90 runs sampled)
[].slice.call x 1,313,116 ops/sec ±2.04% (96 runs sampled)
cached slice.call x 10,297,910 ops/sec ±1.81% (96 runs sampled)
sliced x 19,906,019 ops/sec ±1.23% (89 runs sampled)
fastest is sliced
Array.prototype.slice.call(arguments, 1) x 1,383,584 ops/sec ±1.73% (97 runs sampled)
[].slice.call(arguments, 1) x 1,494,735 ops/sec ±1.33% (95 runs sampled)
cached slice.call(arguments, 1) x 10,085,270 ops/sec ±1.51% (97 runs sampled)
sliced(arguments, 1) x 16,620,480 ops/sec ±1.29% (95 runs sampled)
Array.prototype.slice.call(arguments, 1) x 1,373,238 ops/sec ±1.84% (95 runs sampled)
[].slice.call(arguments, 1) x 1,395,336 ops/sec ±1.36% (93 runs sampled)
cached slice.call(arguments, 1) x 9,926,018 ops/sec ±1.67% (92 runs sampled)
sliced(arguments, 1) x 20,747,990 ops/sec ±1.16% (93 runs sampled)
fastest is sliced(arguments, 1)
Array.prototype.slice.call(arguments, -1) x 1,303,262 ops/sec ±1.62% (94 runs sampled)
[].slice.call(arguments, -1) x 1,325,615 ops/sec ±1.36% (97 runs sampled)
cached slice.call(arguments, -1) x 9,673,603 ops/sec ±1.70% (96 runs sampled)
sliced(arguments, -1) x 16,384,575 ops/sec ±1.06% (91 runs sampled)
Array.prototype.slice.call(arguments, -1) x 1,319,908 ops/sec ±2.12% (91 runs sampled)
[].slice.call(arguments, -1) x 1,336,170 ops/sec ±1.33% (97 runs sampled)
cached slice.call(arguments, -1) x 10,078,718 ops/sec ±1.21% (98 runs sampled)
sliced(arguments, -1) x 20,471,474 ops/sec ±1.81% (92 runs sampled)
fastest is sliced(arguments, -1)
Array.prototype.slice.call(arguments, -2, -10) x 1,404,390 ops/sec ±1.61% (95 runs sampled)
[].slice.call(arguments, -2, -10) x 1,514,367 ops/sec ±1.21% (96 runs sampled)
cached slice.call(arguments, -2, -10) x 9,836,017 ops/sec ±1.21% (95 runs sampled)
sliced(arguments, -2, -10) x 18,544,882 ops/sec ±1.30% (91 runs sampled)
Array.prototype.slice.call(arguments, -2, -10) x 1,369,246 ops/sec ±1.68% (97 runs sampled)
[].slice.call(arguments, -2, -10) x 1,387,935 ops/sec ±1.70% (95 runs sampled)
cached slice.call(arguments, -2, -10) x 9,593,428 ops/sec ±1.23% (97 runs sampled)
sliced(arguments, -2, -10) x 23,178,931 ops/sec ±1.70% (92 runs sampled)
fastest is sliced(arguments, -2, -10)
Array.prototype.slice.call(arguments, -2, -1) x 1,458,604 ops/sec ±1.41% (97 runs sampled)
[].slice.call(arguments, -2, -1) x 1,536,547 ops/sec ±1.63% (99 runs sampled)
cached slice.call(arguments, -2, -1) x 10,060,633 ops/sec ±1.37% (96 runs sampled)
sliced(arguments, -2, -1) x 18,608,712 ops/sec ±1.08% (93 runs sampled)
Array.prototype.slice.call(arguments, -2, -1) x 1,441,300 ops/sec ±1.26% (98 runs sampled)
[].slice.call(arguments, -2, -1) x 1,410,326 ops/sec ±1.96% (93 runs sampled)
cached slice.call(arguments, -2, -1) x 9,854,419 ops/sec ±1.02% (97 runs sampled)
sliced(arguments, -2, -1) x 22,550,801 ops/sec ±1.86% (91 runs sampled)
fastest is sliced(arguments, -2, -1)

@@ -40,0 +40,0 @@

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