Migrate to dep (#3972)

* Update makefile to use dep

* Migrate to dep

* Fix some deps

* Try to find a better version for golang.org/x/net

* Try to find a better version for golang.org/x/oauth2

1 files changed, 0 insertions, 149 deletions

diff --git a/vendor/github.com/nfnt/resize/README.md b/vendor/github.com/nfnt/resize/README.md
deleted file mode 100644
index 2aefa75c94..0000000000
--- a/vendor/github.com/nfnt/resize/README.md
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-Resize
-======
-
-Image resizing for the [Go programming language](http://golang.org) with common interpolation methods.
-
-[![Build Status](https://travis-ci.org/nfnt/resize.svg)](https://travis-ci.org/nfnt/resize)
-
-Installation
-------------
-
-```bash
-$ go get github.com/nfnt/resize
-```
-
-It's that easy!
-
-Usage
------
-
-This package needs at least Go 1.1. Import package with
-
-```go
-import "github.com/nfnt/resize"
-```
-
-The resize package provides 2 functions:
-
-* `resize.Resize` creates a scaled image with new dimensions (`width`, `height`) using the interpolation function `interp`.
-  If either `width` or `height` is set to 0, it will be set to an aspect ratio preserving value.
-* `resize.Thumbnail` downscales an image preserving its aspect ratio to the maximum dimensions (`maxWidth`, `maxHeight`).
-  It will return the original image if original sizes are smaller than the provided dimensions.
-
-```go
-resize.Resize(width, height uint, img image.Image, interp resize.InterpolationFunction) image.Image
-resize.Thumbnail(maxWidth, maxHeight uint, img image.Image, interp resize.InterpolationFunction) image.Image
-```
-
-The provided interpolation functions are (from fast to slow execution time)
-
-- `NearestNeighbor`: [Nearest-neighbor interpolation](http://en.wikipedia.org/wiki/Nearest-neighbor_interpolation)
-- `Bilinear`: [Bilinear interpolation](http://en.wikipedia.org/wiki/Bilinear_interpolation)
-- `Bicubic`: [Bicubic interpolation](http://en.wikipedia.org/wiki/Bicubic_interpolation)
-- `MitchellNetravali`: [Mitchell-Netravali interpolation](http://dl.acm.org/citation.cfm?id=378514)
-- `Lanczos2`: [Lanczos resampling](http://en.wikipedia.org/wiki/Lanczos_resampling) with a=2
-- `Lanczos3`: [Lanczos resampling](http://en.wikipedia.org/wiki/Lanczos_resampling) with a=3
-
-Which of these methods gives the best results depends on your use case.
-
-Sample usage:
-
-```go
-package main
-
-import (
-	"github.com/nfnt/resize"
-	"image/jpeg"
-	"log"
-	"os"
-)
-
-func main() {
-	// open "test.jpg"
-	file, err := os.Open("test.jpg")
-	if err != nil {
-		log.Fatal(err)
-	}
-
-	// decode jpeg into image.Image
-	img, err := jpeg.Decode(file)
-	if err != nil {
-		log.Fatal(err)
-	}
-	file.Close()
-
-	// resize to width 1000 using Lanczos resampling
-	// and preserve aspect ratio
-	m := resize.Resize(1000, 0, img, resize.Lanczos3)
-
-	out, err := os.Create("test_resized.jpg")
-	if err != nil {
-		log.Fatal(err)
-	}
-	defer out.Close()
-
-	// write new image to file
-	jpeg.Encode(out, m, nil)
-}
-```
-
-Caveats
--------
-
-* Optimized access routines are used for `image.RGBA`, `image.NRGBA`, `image.RGBA64`, `image.NRGBA64`, `image.YCbCr`, `image.Gray`, and `image.Gray16` types. All other image types are accessed in a generic way that will result in slow processing speed.
-* JPEG images are stored in `image.YCbCr`. This image format stores data in a way that will decrease processing speed. A resize may be up to 2 times slower than with `image.RGBA`. 
-
-
-Downsizing Samples
--------
-
-Downsizing is not as simple as it might look like. Images have to be filtered before they are scaled down, otherwise aliasing might occur.
-Filtering is highly subjective: Applying too much will blur the whole image, too little will make aliasing become apparent.
-Resize tries to provide sane defaults that should suffice in most cases.
-
-### Artificial sample
-
-Original image
-![Rings](http://nfnt.github.com/img/rings_lg_orig.png)
-
-<table>
-<tr>
-<th><img src="http://nfnt.github.com/img/rings_300_NearestNeighbor.png" /><br>Nearest-Neighbor</th>
-<th><img src="http://nfnt.github.com/img/rings_300_Bilinear.png" /><br>Bilinear</th>
-</tr>
-<tr>
-<th><img src="http://nfnt.github.com/img/rings_300_Bicubic.png" /><br>Bicubic</th>
-<th><img src="http://nfnt.github.com/img/rings_300_MitchellNetravali.png" /><br>Mitchell-Netravali</th>
-</tr>
-<tr>
-<th><img src="http://nfnt.github.com/img/rings_300_Lanczos2.png" /><br>Lanczos2</th>
-<th><img src="http://nfnt.github.com/img/rings_300_Lanczos3.png" /><br>Lanczos3</th>
-</tr>
-</table>
-
-### Real-Life sample
-
-Original image  
-![Original](http://nfnt.github.com/img/IMG_3694_720.jpg)
-
-<table>
-<tr>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_NearestNeighbor.png" /><br>Nearest-Neighbor</th>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_Bilinear.png" /><br>Bilinear</th>
-</tr>
-<tr>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_Bicubic.png" /><br>Bicubic</th>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_MitchellNetravali.png" /><br>Mitchell-Netravali</th>
-</tr>
-<tr>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_Lanczos2.png" /><br>Lanczos2</th>
-<th><img src="http://nfnt.github.com/img/IMG_3694_300_Lanczos3.png" /><br>Lanczos3</th>
-</tr>
-</table>
-
-
-License
--------
-
-Copyright (c) 2012 Jan Schlicht <janschlicht@gmail.com>
-Resize is released under a MIT style license.