sebastienwindal

YapDatabaseViewGroupingWithObjectBlock groupingBlock = ^NSString *(NSString *collection, NSString *key, id object) {
    if (![object isKindOfClass:[MealLogRemote class]]) {
        return nil;
    }
    return "all"; // we only need one section/group in this case
};

YapDatabaseViewSortingWithObjectBlock sortingBlock = ^NSComparisonResult (NSString *group, NSString *collection1, NSString *key1, MealLogRemote *obj1,
                                    NSString *collection2, NSString *key2, MealLogRemote *obj2){
    // we don't need sorting but this using a sorting for a view is mandatory, lets sort it by date

taxilian

We couldn’t find that file to show.

chrisjaure

#! /path/to/node

var haibu = require('/path/to/haibu');

var client = new haibu.drone.Client();

process.stdin.resume();
process.stdin.on('data', function(data){
  var package = JSON.parse(data.toString());

geoffgarside

//
//  GGChecksummingOutputStream.h
//
//  Created by Geoff Garside on 12/12/2010.
//  Copyright 2010 Geoff Garside. All rights reserved.
//

#import <Foundation/Foundation.h>
#import <CommonCrypto/CommonDigest.h>

nikolaykasyanov

@import UIKit;


NS_ASSUME_NONNULL_BEGIN

@protocol MFBPreviewableCollectionView

- (nullable NSIndexPath *)mfb_previewableCollectionIndexPathForItemAtPoint:(CGPoint)point;
- (CGRect)mfb_previewableCollectionItemRectForIndexPath:(NSIndexPath *)indexPath;

orta

# http://artsy.github.io/blog/2016/03/02/Lazily-Automation/

function git_branch_info
  git branch ^/dev/null | grep \* | sed 's/* //'
end

function branch
  git checkout master;
  git pull upstream master;
  git checkout -b $argv[1]

agibson73

import UIKit

@IBDesignable class PulseTouchCollectionViewCell: UICollectionViewCell {
    
    @IBInspectable var scaleFactor : CGFloat = 1.3
    @IBInspectable var animationColor : UIColor = UIColor.green
    @IBInspectable var startingOpacity : Float = 0.2
    @IBInspectable var animationDuration : Double = 0.8

kashif

import numpy as np
import gym
from gym.spaces import Discrete, Box
from gym.wrappers import Monitor
from keras.models import Sequential
from keras.layers import Dense, Activation, Flatten


# ================================================================
# Policies

andrewssobral

"""
A bare bones examples of optimizing a black-box function (f) using
Natural Evolution Strategies (NES), where the parameter distribution is a 
gaussian of fixed standard deviation.
"""

import numpy as np
np.random.seed(0)

# the function we want to optimize

palmerc

- (UIImage *)boxblurImage:(UIImage *)image boxSize:(int)boxSize
{
    CGImageRef originalImageRef = image.CGImage;
    CGColorSpaceRef originalColorSpace = CGColorSpaceRetain(CGImageGetColorSpace(originalImageRef));

    if (_pixelBuffer == NULL) {
        _pixelBuffer = malloc(CGImageGetBytesPerRow(originalImageRef) * CGImageGetHeight(originalImageRef));
    }

    vImage_CGImageFormat inputImageFormat =