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72
README.md
72
README.md
@@ -1,4 +1,4 @@
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# sharp
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# sharp
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_adj_
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@@ -7,15 +7,17 @@ _adj_
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3. shrewd or astute: a sharp bargainer.
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4. (Informal.) very stylish: a sharp dresser; a sharp jacket.
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The typical use case for this high performance Node.js module is to convert a large JPEG image to smaller JPEG images of varying dimensions.
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The typical use case for this high speed Node.js module is to convert a large JPEG image to smaller JPEG images of varying dimensions.
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It is somewhat opinionated in that it only deals with JPEG images, always obeys the requested dimensions by either cropping or embedding and insists on a mild sharpen of the resulting image.
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Under the hood you'll find the blazingly fast [libvips](https://github.com/jcupitt/libvips) image processing library, originally created in 1989 at Birkbeck College and currently maintained by the University of Southampton. Speed is typically 25-30% faster than the imagemagick equivalent.
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Under the hood you'll find the blazingly fast [libvips](https://github.com/jcupitt/libvips) image processing library, originally created in 1989 at Birkbeck College and currently maintained by the University of Southampton.
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Performance is 4x-8x faster than the imagemagick equivalent, based mainly on the number of CPU cores available.
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## Prerequisites
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Requires node-gyp and libvips-dev to build.
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Requires Node.js v0.8+, node-gyp and libvips-dev to build.
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sudo npm install -g node-gyp
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sudo apt-get install libvips-dev
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@@ -26,7 +28,7 @@ Ubuntu 12.04 LTS:
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sudo ln -s /usr/lib/pkgconfig/vips-7.26.pc /usr/lib/pkgconfig/vips.pc
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Ubuntu 13.04:
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Ubuntu 13.04 (64-bit):
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sudo ln -s /usr/lib/x86_64-linux-gnu/pkgconfig/vips-7.28.pc /usr/lib/pkgconfig/vips.pc
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@@ -36,28 +38,80 @@ Ubuntu 13.04:
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## Usage
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var sharp = require("sharp");
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### crop(inputPath, outputPath, width, height, callback)
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Scale and crop JPEG `inputPath` to `width` x `height` and write JPEG to `outputPath` calling `callback` when complete.
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Example:
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```javascript
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var sharp = require("sharp");
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sharp.crop("input.jpg", "output.jpg", 300, 200, function(err) {
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if (err) {
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throw err;
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}
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// output.jpg is cropped input.jpg
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// output.jpg is a 300 pixels wide and 200 pixels high image
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// containing a scaled and cropped version of input.jpg
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});
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```
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### embedWhite(inputPath, outputPath, width, height, callback)
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Scale and embed JPEG `inputPath` to `width` x `height` using a white canvas and write JPEG to `outputPath` calling `callback` when complete.
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```javascript
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sharp.embedWhite("input.jpg", "output.jpg", 200, 300, function(err) {
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if (err) {
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throw err;
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}
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// output.jpg contains input.jpg embedded with a white border
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// output.jpg is a 200 pixels wide and 300 pixels high image
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// containing a scaled version of input.jpg embedded on a white canvas
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});
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```
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### embedBlack(inputPath, outputPath, width, height, callback)
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Scale and embed JPEG `inputPath` to `width` x `height` using a black canvas and write JPEG to `outputPath` calling `callback` when complete.
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```javascript
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sharp.embedBlack("input.jpg", "output.jpg", 200, 300, function(err) {
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if (err) {
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throw err;
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}
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// output.jpg contains input.jpg embedded with a black border
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// output.jpg is a 200 pixels wide and 300 pixels high image
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// containing a scaled version of input.jpg embedded on a black canvas
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});
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```
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## Testing [](https://travis-ci.org/lovell/sharp)
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npm install --dev sharp
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npm test
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## Performance
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### AMD Athlon 4x core 3.3GHz 512KB L2
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* imagemagick x 5.55 ops/sec ±0.68% (31 runs sampled)
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* sharp x 24.49 ops/sec ±6.85% (64 runs sampled)
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### AWS t1.micro
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* imagemagick x 1.36 ops/sec ±0.96% (11 runs sampled)
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* sharp x 12.42 ops/sec ±5.84% (64 runs sampled)
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### AWS m1.medium
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* imagemagick x 1.38 ops/sec ±0.45% (11 runs sampled)
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* sharp x 12.66 ops/sec ±5.54% (65 runs sampled)
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### AWS c1.medium
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* imagemagick x 2.10 ops/sec ±0.67% (15 runs sampled)
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* sharp x 18.97 ops/sec ±10.54% (52 runs sampled)
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### AWS m3.xlarge
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* imagemagick x 4.46 ops/sec ±0.33% (26 runs sampled)
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* sharp x 28.89 ops/sec ±7.75% (74 runs sampled)
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@@ -2,7 +2,10 @@
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'targets': [{
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'target_name': 'sharp',
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'sources': ['src/sharp.cc'],
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'libraries': ['<!@(PKG_CONFIG_PATH="/usr/lib/pkgconfig" pkg-config --libs glib-2.0 vips)'],
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'libraries': [
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'<!@(PKG_CONFIG_PATH="/usr/local/lib/pkgconfig" pkg-config --libs vips)',
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'<!@(PKG_CONFIG_PATH="/usr/lib/pkgconfig" pkg-config --libs vips)'
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],
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'include_dirs': [
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'/usr/include/glib-2.0',
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'/usr/lib/glib-2.0/include',
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17
package.json
17
package.json
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{
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"name": "sharp",
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"version": "0.0.1",
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"main": "./build/Release/sharp",
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"version": "0.0.3",
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"main": "index.js",
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"description": "High performance Node.js module to resize JPEG images using the libvips image processing library",
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"repository": {
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"type": "git",
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"url": "git://github.com/lovell/sharp"
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},
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"devDependencies": {
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"imagemagick": "*"
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"imagemagick": "*",
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"benchmark": "*"
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},
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"scripts": {
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"test": "node tests/perf.js"
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},
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"engines": {
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"node": "*"
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"node": ">=0.8"
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},
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"keywords": [
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"jpeg",
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"resize",
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"thumbnail",
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"sharpen",
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"crop",
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"embed",
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"sharpen",
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"crop",
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"embed",
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"libvips",
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"fast"
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"fast"
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],
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"author": "Lovell Fuller",
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"license": "Apache 2.0"
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var sharp = require("../index");
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var imagemagick = require("imagemagick");
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var assert = require("assert");
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var Benchmark = require("benchmark");
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// http://www.flickr.com/photos/grizdave/2569067123/
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var input = __dirname + "/2569067123_aca715a2ee_o.jpg";
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var input = __dirname + "/2569067123_aca715a2ee_o.jpg"; // http://www.flickr.com/photos/grizdave/2569067123/
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var output = __dirname + "/output.jpg";
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var width = 640;
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var height = 480;
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// imagemagick
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var time = process.hrtime();
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imagemagick.resize({
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srcPath: input,
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dstPath: output,
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quality: 0.75,
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width: width,
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height: height
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}, function(err) {
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if (err) {
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throw err;
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var suite = new Benchmark.Suite;
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suite.add("imagemagick", {
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"defer": true,
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"fn": function(deferred) {
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imagemagick.resize({
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srcPath: input,
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dstPath: output,
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quality: 0.75,
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width: width,
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height: height
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}, function(err) {
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if (err) {
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throw err;
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} else {
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deferred.resolve();
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}
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});
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}
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var diff = process.hrtime(time);
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imagemagickTime = diff[0] * 1e9 + diff[1];
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console.log("imagemagick took %d nanoseconds", imagemagickTime);
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// sharp
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time = process.hrtime();
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sharp.crop(input, output, width, height, function(err) {
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if (err) {
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throw err;
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}
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diff = process.hrtime(time);
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var sharpTime = diff[0] * 1e9 + diff[1];
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console.log("sharp took %d nanoseconds", sharpTime);
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// diff
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assert(sharpTime < imagemagickTime, "sharp was blunt");
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console.log("sharp was %d%% faster", (imagemagickTime - sharpTime) / imagemagickTime * 100);
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});
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});
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}).add("sharp", {
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"defer": true,
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"fn": function(deferred) {
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sharp.crop(input, output, width, height, function(err) {
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if (err) {
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throw err;
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} else {
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deferred.resolve();
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}
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});
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}
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}).on("cycle", function(event) {
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console.log(String(event.target));
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}).on("complete", function() {
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assert(this.filter("fastest").pluck("name") == "sharp");
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}).run();
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