erica

import Cocoa

// Support Foundation calls on String
public extension String { public var ns: NSString {return self as NSString} }

/// Custom Labeled Playground-Based Drag-and-Drop window
public class DropView: NSTextField {
    
    // Default action handler
    public var handler: ([String]) -> Void = { paths in Swift.print(paths) }

otraore

package main

import (
	"github.com/gin-gonic/contrib/sessions"
	"github.com/gin-gonic/gin"
	"log"
	"net/http"
	"strings"
)

rainabba

First, I should be clear that this was done on a G2 AWS instance and I started with working nvidia support by following http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using_cluster_computing.html

From that (or if you're feeling more bold), the thing to take is getting the right binary install package and running it. Look at http://www.nvidia.com/object/unix.html and get the package you want (at the time, I'm using 'Latest Long Lived Branch version: 361.45.11'), then run the file you get. For example, sudo sh ./NVIDIA-Linux-x86_64-361.45.11.run.

I do not have time to test on a clean instance so you may need a bit more setup that I've not mentioned and I make no guarantees anyway since I hardly know what I'm doing here :)

The ffmpeg_build.sh script was mostly copy/paste from the guide at https://trac.ffmpeg.org/wiki/CompilationGuide/Centos and with significant help from folks on FreeNode #ffmpeg (notably furq and JEEB though there were others).

The steps for adding OpenCL headers support was borrowed

raysegantii

1. install npm packages
2. update brunch-config.js
3. rename web/static/css/app.css to web/static/css/app.scss
4. update web/static/css/app.scss

mGalarnyk

# Go to home directory
cd ~

# You can change what anaconda version you want at 
# https://repo.continuum.io/archive/
wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
bash Anaconda3-5.0.1-Linux-x86_64.sh -b -p ~/anaconda
rm Anaconda3-5.0.1-Linux-x86_64.sh
echo 'export PATH="~/anaconda/bin:$PATH"' >> ~/.bashrc 

b-r-o

import UIKit
import AVFoundation

protocol FrameExtractorDelegate: class {
    func captured(image: UIImage)
}

class FrameExtractor: NSObject, AVCaptureVideoDataOutputSampleBufferDelegate {
    
    private let position = AVCaptureDevicePosition.front

benjamincharity

curl -X DELETE https://circleci.com/api/v1/project/:username/:project/build-cache?circle-token=:token

DennisWeidmann

extension NSImage {
    func pixelBuffer() -> CVPixelBuffer? {
        let width = self.size.width
        let height = self.size.height
        let attrs = [kCVPixelBufferCGImageCompatibilityKey: kCFBooleanTrue,
                     kCVPixelBufferCGBitmapContextCompatibilityKey: kCFBooleanTrue] as CFDictionary
        var pixelBuffer: CVPixelBuffer?
        let status = CVPixelBufferCreate(kCFAllocatorDefault,
                                         Int(width),
                                         Int(height),

mscoutermarsh

AllCops:
  Exclude:
    - db/**/*
    - Gemfile
    - vendor/**/*
    - config/environments/*
    - bin/**/*

Rails:
  Enabled: true

Deub27

import UIKit

extension UIStackView {
    
    func removeAllArrangedSubviews() {
        
        let removedSubviews = arrangedSubviews.reduce([]) { (allSubviews, subview) -> [UIView] in
            self.removeArrangedSubview(subview)
            return allSubviews + [subview]
        }